Computer Teacher Jobs - Beirut Lebanon
675 Jobs Found
<h2 class="h5">Job description</h2>
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<span>Aspire Software is looking for a AI Automation Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent division of labour Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts Governance, quality and evaluation Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms Test workflows with real users and real operational scenarios before scaling Measure agent quality, workflow success, containment, handoff quality and operational value Continuously improve workflows based on usage data, user feedback and service outcomes Adoption and enablement Partner with functional leaders and frontline teams to support rollout and adoption Document new ways of working and help train users on how to work effectively with AI agents Surface workflow risks, resistance points and improvement opportunities Contribute reusable prompts, components, patterns and playbooks to the central AI capability Cross functional delivery Collaborate with Product, Engineering, Support, Sales and Professional Services teams Help prioritise use cases based on measurable business value, feasibility and operational readiness Support the central AI capability with value tracking, reporting and continuous learning across initiatives What success looks like Reduction in manual work and process cycle time Improved support response times and service leverage Workflow success rate and agent task completion quality Ticket containment or deflection where relevant Handoff quality for escalated or human reviewed work User adoption of AI enabled workflows Hours saved and team capacity created Contribution to service, productivity and customer outcomes Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value Strong working knowledge of AI and machine learning tools, large language models and agent frameworks Experience building AI agents, workflow automations or AI powered internal tools Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage Ability to go from zero to functional prototype quickly Strong systems thinking and comfort working across tools, processes and teams Comfort with ambiguity and the ability to help define the problem as well as the solution Bias toward action, with discipline around quality, evaluation and operational safety Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions Nice to have Experience building AI agents or service automation workflows Experience in hospitality, retail, vertical SaaS, or B2B software environments Experience working across multiple product lines, business units or operational functions Familiarity with support operations, CRM workflows, or Professional Services delivery models Experience with analytics, reporting and operational performance measurement A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</span> </div>
<p>Murex is a global fintech leader in trading, risk management and processing solutions for capital markets. Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world. Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You ll be part of one global team where you can learn fast and stay true to yourself. The Team The Platform Technologies group drives the evolution of the MX.3 technical capabilities aligned with market standards and customers' expectations. It s an end-to-end organization that aims to address the technical and technological challenges of the MX.3 platform. To answer the different platform wide challenges, the group is organized into domains that are composed of developers, product managers, architects and experts. Part of this Platform Technologies group, the Security Domain's mission is to: Ensure the security of the platform to meet market standards and client requirements, Ensure the security of the internal Software Development Lifecycle, Product manage and develop security and IAM components of the MX.3 platform. The Security Domain is made up of technical product managers and engineers from different seniority levels. Team members are in contact with many development and support teams from all the offices of Murex and in direct contact with customers. The open position is within the Security Domain as Security Technical Product Manager. Your Responsibilities: As a Security Technical Product Manager and member of the Platform Technologies team, you will serve as a liaison for the security domain between MX.3 customers and customer-facing teams (Presales, Production and Architecture Consultants, Operators, Product Evolution Services, etc.), engineering teams (part of SAFe Agile Release Trains) and external security technology partners. You ll also: Collaborate with cross-functional teams to define technical solutions, requirements, and architecture for new security focused capabilities (Identity and Access Management, etc.) of the MX.3 platform. Collaborate with stakeholders to define features scope, acceptance criteria, timelines, and deliverables. Build expertise on MX.3 product and internal processes, especially expertise on security components of MX.3 and the Secure Development Lifecycle (SDLC) of MX.3 Analyze requirements and ensure their alignment with the security market best practices. Analyze software security regulations and standards (e.g. OWASP Top 10 Web Application Security Risks) to identify product gaps and evolution opportunities. Own security initiatives and product features by reviewing or producing the requirements and specifications for MX.3 Platform, its Development Lifecyle, its supporting production chain and operating environment. Drive execution of security features through delivery, actively removing impediments to keep work on track. Work with the different delivery teams to ensure that they understand the requirements and specifications. Analyze the impact of the proposed features on MX.3 Platform, develop use-cases to explain and demonstrate requirements to development and tech teams. Assist the testing teams to ensure that security requirements can be easily translated into test plans and ensure that the proper security testing plans have been completed. Review internal projects to analyze security threats and risks and enrich security requirements. Providing support to internal (L1) and external customers (L3) during the different life-cycle phases of the MX.3 platform (from presales to solution design to implementation to production), Analyze complex L3 support requests and collaborate with internal stakeholders for their resolution (reported bugs/issues, vulnerabilities, questionnaires, etc...) Identify opportunities for product evolutions through support channel. Act as Product Manager within an Agile Release Train (ART), participating in Agile events and driving the definition and prioritization of security features within the backlog in alignment with the platform security roadmap.</p><p><strong>Desired Candidate Profile</strong></p><p>You should have a strong technical background in enterprise distributed systems and security best practices, in addition to a proven track record in driving product evolution from problem definition to solution definition, execution, and delivery.</p><p>Qualifications:</p><ul><li>Bachelor s or master s degree in engineering or computer science or similar discipline.</li><li>8+ years of experience as a software developer, architect and/or software product manager, or 5+ years of experience in software security or identity and access management-related role.</li><li>Good knowledge of enterprise distributed systems and cloud architecture concepts, and fundamental design principles for building secure and scalable applications.</li><li>Good knowledge of product security (digital identities, authentication, authorization, regulatory compliance, cryptography, data protection, API and cloud security, zero-trust architecture principles, threat modeling, etc.)</li><li>Strong understanding of non functional requirements, including service availability, security, business continuity, scalability, performance, and overall product quality.</li><li>Proven experience in delivering software features from POC to Production.</li><li>Collaborative mindset and strong communication skills, including strong writing skills covering functional and technical concepts.</li><li>Ability to continuously learn in an evolving technology domain</li><li>Ability to work under pressure and manage ambiguity</li><li>Autonomous, rigorous, analytical and synthetical mind.</li><li>Fluency in written and verbal communication in English. (French in a plus).</li></ul><p>What will make you stand out:</p><ul><li>Previous work experience in identity and access management in distributed software systems.</li><li>Previous work experience in designing and implementing security features in large distributed systems and cloud environments.</li><li>Working experience in software authentication mechanisms (OIDC, SAML, LDAP, etc.)</li><li>Working experience in cybersecurity threat modeling.</li><li>Deep understanding of authentication and authorization across hybrid-cloud environments.</li><li>Cybersecurity or cloud security certification (AWS or Azure).</li></ul>
<h2 class="h5">Job description</h2>
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Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies.</p><br><p>The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization.</p><br><p>This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Data Engineering & Platform Development</strong></p><br><ul><li>Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake.</li><li>Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines.</li><li>Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold).</li><li>Develop reusable and metadata-driven ingestion and transformation frameworks.</li><li>Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications.</li><li>Design and maintain enterprise data models supporting analytical and operational workloads.</li></ul><p><strong>2. Fabric Engineering & Optimization</strong></p><br><ul><li>Develop and optimize Fabric Lakehouses and Data Warehouses.</li><li>Build advanced Notebook-based transformations utilizing PySpark and Spark SQL.</li><li>Implement Delta Lake capabilities including:<ul><li>Merge/Upsert</li><li>Change Data Feed (CDF)</li><li>Time Travel</li><li>Schema Evolution</li><li>Optimize</li><li>Vacuum</li></ul></li><li>Design scalable storage, partitioning, and file management strategies within OneLake.</li><li>Optimize Spark workloads and Data Warehouse performance.</li></ul><p><strong>3. Performance, Reliability & Monitoring</strong></p><br><ul><li>Tune large-scale Spark and SQL workloads.</li><li>Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics.</li><li>Conduct performance testing and scalability assessments.</li><li>Troubleshoot pipeline failures and platform performance bottlenecks.</li><li>Define and monitor SLAs for critical data assets and pipelines.</li><li>Ensure high availability and operational excellence across data workloads.</li></ul><p><strong>4. DevOps & Platform Automation</strong></p><br><ul><li>Implement CI/CD using Fabric Git Integration and Deployment Pipelines.</li><li>Build automated deployment processes across Development, Test, and Production environments.</li><li>Develop automated testing frameworks for data quality, schema validation, and regression testing.</li><li>Manage environment configurations, secrets, and deployment parameters.</li><li>Utilize Azure DevOps or GitHub Actions to support release automation and governance.</li><li>Define rollback, release management, and change control processes.</li></ul><p><strong>5. Data Quality, Governance & Security</strong></p><br><ul><li>Implement automated data quality validation frameworks.</li><li>Develop reconciliation, completeness, and consistency checks.</li><li>Manage data lineage, metadata, and documentation standards.</li><li>Implement sensitivity labels, access controls, auditing, and compliance requirements.</li><li>Ensure adherence to organizational standards for governance, security, retention, and PII handling.</li><li>Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li></ul><p><strong>6. Technical Leadership & Collaboration</strong></p><br><ul><li>Translate business requirements into scalable technical solutions.</li><li>Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders.</li><li>Lead engineering best practices and platform standards.</li><li>Mentor junior engineers and support knowledge-sharing initiatives.</li><li>Produce architecture documentation and technical design specifications.</li></ul><p>Drive continuous improvement of the data platform and engineering practices.</p><br><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><p><strong>Required Technical Skills</strong></p><br><p><strong>Microsoft Fabric</strong></p><br><ul><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li></ul><p><strong>Data Engineering</strong></p><br><ul><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li></ul><p><strong>Performance Optimization</strong></p><br><ul><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li></ul><p><strong>Integration</strong></p><br><ul><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li></ul><p><strong>DevOps</strong></p><br><ul><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li></ul><p><strong>Security & Governance</strong></p><br><ul><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul><br>Additional Information<br><p><strong>Preferred Qualifications</strong></p><br><ul><li>Microsoft Fabric DP-600 Certification.</li><li>DP-203 Azure Data Engineer Associate Certification.</li><li>Experience with Microsoft Purview.</li><li>Experience with Eventstream and Real-Time Intelligence.</li><li>Experience with Azure Databricks.</li><li>Exposure to AI and Machine Learning data engineering workloads.</li><li>Experience implementing enterprise data governance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform/Bicep).</li></ul><br><br> </div>
Amaken is seeking a Tendering & Project Coordinator with previous experience in construction, contracting, MEP, ELV, or systems integration for a telecom and security systems company based in Hamra, Lebanon.
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<br>The successful candidate will be responsible for coordinating projects from the tendering and quotation stage through technical submittals, procurement, order follow-up, material delivery, and coordination with the technical and site teams.
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<br>Key Responsibilities:
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<br>1. Tendering, Estimation & Proposals:
<br>• Review tender documents, RFQs, drawings, specifications, BOQs, and client requirements.
<br>• Understand the overall project scope and identify the required systems, equipment, materials, and services.
<br>• Read and interpret AutoCAD drawings and other technical documentation.
<br>• Perform accurate quantity take-offs from drawings and specifications.
<br>• Prepare and organize Excel-based BOQs.
<br>• Issue RFQs to suppliers and obtain technical and commercial quotations.
<br>• Compare supplier quotations, prices, specifications, and lead times.
<br>• Coordinate with the technical team to select suitable products and solutions in line with project specifications.
<br>• Prepare professional technical and commercial offers for submission to clients.
<br>• Review quotations to ensure that all required quantities, accessories, services, and project requirements are properly covered.
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<br>2. Technical Submittals & Documentation:
<br>• Prepare complete technical submittals for client and consultant approval.
<br>• Compile datasheets, compliance statements, technical schedules, catalogues, certificates, and other required documentation.
<br>• Prepare or modify technical drawings using AutoCAD.
<br>• Prepare system diagrams, schematics, flow diagrams, and presentations using Microsoft Visio or similar software.
<br>• Coordinate with manufacturers and suppliers to obtain the required technical documentation.
<br>• Follow up on client and consultant comments and revise submittals until approval.
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<br>3. Project & Procurement Coordination:
<br>• Review the awarded project, approved offer, BOQ, drawings, specifications, and delivery requirements.
<br>• Coordinate with suppliers and manufacturers to obtain competitive prices, lead times, and commercial terms.
<br>• Coordinate with management and the concerned departments to ensure the timely issuance of Purchase Orders (POs).
<br>• Follow up with suppliers regarding order confirmation, production, product availability, and expected delivery dates.
<br>• Coordinate shipments, logistics, documentation, and delivery schedules.
<br>• Track orders and shipments until materials are successfully delivered to the site, warehouse, or required destination.
<br>• Maintain accurate records and updated status reports for all project orders.
<br>• Ensure that procurement and delivery activities remain aligned with project timelines.
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<br>4. Material & Technical Team Coordination:
<br>• Coordinate closely with engineers, technicians, project managers, and site teams.
<br>• Verify that all required equipment and materials are available before scheduled installation activities.
<br>• Ensure that accessories, installation materials, connectors, tools, consumables, and other required items are properly identified and included.
<br>• Follow up on shortages and arrange the required materials before they affect site activities.
<br>• Anticipate potential material-related delays and take corrective action to minimize their impact on project schedules.
<br>• Maintain clear communication between suppliers, procurement, technical teams, site teams, and management.
<br>• Track pending items, partial deliveries, backorders, and outstanding accessories until all project material requirements are fulfilled.
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<br>Required Qualifications:
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<br>• Bachelor’s degree or technical degree in Electrical Engineering, Electronics, Telecommunications, Computer Engineering, Network Engineering, or a related field.
<br>• Previous experience in construction, contracting, MEP, ELV, low-current systems, or systems integration.
<br>• Experience in tendering, estimation, procurement, or project coordination is highly preferred.
<br>• Good working knowledge of AutoCAD.
<br>• Strong proficiency in Microsoft Excel for BOQs, calculations, cost comparisons, and project tracking.
<br>• Knowledge of Microsoft Visio or similar diagramming software
<h2 class="h5">Job description</h2>
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<p>With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.</p><br><p>Come join our 31,000+ staff working in nearly 100 countries and share the joy of transforming vulnerable children’s life stories!</p><br><p><u>Key Responsibilities:</u></p><br><p><b>Purpose:</b></p><br><p>To ensure cash, commodity, food, livelihood, and sponsorship program compliance with WV global standards, donor regulations, sector best practices and audit recommendations.</p><br><ul><li>For establishing control mechanisms within the projects to ensure strict adherence to regulations.</li><li>To work closely with all projects leads to build their capacity in meeting key global standards and audit regulations across their projects.</li><li>To lead on Disaster Management Team (DMT), donor and response reporting across the portfolio, and to develop and standardize Standard Operating Procedures (SOPs) and reporting/budget templates across programs.</li><li>To lead the design and rollout of digital systems that improve compliance, control and efficiency across the portfolio, and to conduct field monitoring and compliance spot-checks.</li></ul><p><b>Handle Assessment and Risk Management</b>:</p><br><ul><li>Review WV and donor standards and determine the financial and programmatic risk levels across all cash, commodities, food and livelihood projects under the portfolio.</li><li>Develop a clear long term sustainable strategy for managing the identified risks, in clear compliance with WV global standards and previous audit recommendations.</li><li>Conduct review of proposal package to ensure compliance and consistency from an operational view.</li><li>Support the Area Program Manager in the preparation of any budget proposal or budget redesign.</li><li>Ensure the standardization of processes and SOPs across different areas.</li><li>Lead the design and specification of digital systems and process-improvement initiatives to replace manual, error-prone workflows across programs, producing business case documentation and managing related demand requests through to delivery.</li><li>Conduct field monitoring visits and physical inventory checks to verify on-the-ground compliance across the portfolio.</li><li>Imbed risk management strategies within the process flows and SOPs per grant. Ensure clear control mechanism are in place to adhere to the risk management plan; support the project in the establishment of the SoPs and bring an external eye review.</li><li>Work Closely with Program Manager and Technical Specialist in identifying and setting relevant selection criteria for any upcoming projects.</li><li>Act as a focal point for the Cash and Livelihood portfolio for any external/internal audit mission by leading audit prep spot-checks and ensure projects operate in line with the established control mechanisms and SOPs,</li><li>Monitors the implementation of audit recommendation and process improvements by different functions and ensures they are closed within 90 days.</li><li>Assess the risk level of all upcoming projects that will form part of the portfolio at the project design stage. Participate in the design process identifying and suggesting mechanism of minimizing risk.</li><li>Audit and analyse the portfolio budgets' transactions to ensure accuracy, reliability and completeness.</li><li>Advise Project leads in the budget amendments/redesign process and review final products.</li><li>Ensure all projects are closed out in line with WV global standards. Obtain all necessary sign off before project closure.</li><li>Ensure that all stock (commodities, cards, pins, in kind commodities) are managed and stored in line with global standards and donor regulations.</li><li>Review supporting documents provided by local partners as a means of verification for service delivery or payment issuance.</li><li>In coordination with Area Program Manager and Technical specialist, attend sector meetings and any other meetings with donors or external parties.</li><li>Act as Officer In Charge when needed and required (This imply financial authority and decision – in consultation with the Director of Programs)</li></ul><p><b>Handle Reporting and Documentation:</b></p><br><ul><li>Lead on the Disaster Management Team (DMT) reporting and act as the accountable person and main focal point in the Portfolio in terms of DMT reporting.</li><li>Establish a mechanism, which will enable rapid and accurate authentication preparation of monthly, quarterly and yearly internal and external reports.</li><li>Compile reports/information/data from project coordinators and conduct review and deduplication and provide accurate data to feed in the different internal and external reporting templates.</li><li>Establish a clear, chronological and secure hard and soft copy record filing system across the portfolio. Ensure compliance with the filing system across all projects within the portfolio.</li><li>In close coordination with budget holder, ensure adequate financial control mechanisms are adhered to. Lead the budget vs actual review process monthly across all projects. Ensure all costs reconcile. Establish a clear procurement and financial expenditure tracking system at the portfolio level.</li><li>Collect the monthly cash requests from budget holder and ensure their accuracy and reliability</li><li>Lead the reporting on the Grant Health Tracker and ensure the reported items are accurate and reflect the actual progress of the projects.</li><li>Liaise with other project coordinators within the Cash and Livelihood Portfolio and other Portfolios in WV Lebanon in order to create synergies and standard systems across the portfolio project by sharing lessons learned, experiences, observations and challenges.</li></ul><p><b>Handle Staff Management:</b></p><br><ul><li>Ensure all the project staff have an up-to-date job description and a performance agreement which are reviewed on a regular basis (at least twice per year);</li><li>Provide leadership to the team by mentoring, coaching, and provision of in-house or external training staff to ensure efficiency and high quality deliverables.</li><li>Establish and maintain a clear communication system with staff which allows for regular: a) progress tracking; b) task assignment; c)problem solving; d) on-the-job capacity building;</li></ul><p><b>Ensure Capacity Building:</b></p><br><p>Provide capacity building to all portfolio staff to ensure:</p><br><ul><li>Heightened awareness of all cash, commodities and food global standards.</li><li>Auditing process and regulations.</li><li>Reporting and recording standards.</li><li>Financial accounting, compliance and reconciliation process; memo and notes for the file’s preparation</li><li>Budget modelling and review</li></ul><p><b>Perform other duties as required:</b></p><br><ul><li>Attend and participate in WVL’s spiritual nurture and other organizational events</li><li>Responsible of own security and actively contribute to a positive security culture</li><li>Report CP incidents as per the safeguarding policy guidelines.</li><li>Abide by the security policies and procedures and report any incidents or breaches to line manager and / or security manager</li><li>Perform other duties as assigned by Line Manager</li></ul><p><b>Minimum Requirements:</b></p><br><ul><li>Minimum of 4 years of similar work experience in project/programme financial and compliance control, preferably in cash, commodities and food sectors.</li><li>Experience in auditing grants (risk-based audit) </li><li>Chartered accountant status;</li><li>Bachelor’s degree in accounting, Finance Management, Economics, Software Development or similar.</li><li>Advanced computer literacy, especially in Microsoft Office and Excel, and a strong track record of driving process-improvement or digitization initiatives;</li><li>Work experience in multi-functional teams of different cultural backgrounds</li><li>Experience in auditing grants.</li></ul><p><b>As a Christian organisation, World Vision is founded on the biblical principles that women and men, girls and boys are created in the image of God, and of Jesus’ love for all people without discrimination. This means that we recognise and affirm the equal worth, dignity and rights of women, men, girls and boys with and without disability and all applicants will be considered for employment without attention to race, colour, religion, sexual orientation, gender identity, national origin, or disability status</b></p><br><p><u>Applicant Types Accepted:</u></p><br> </div>
<h2 class="h5">Job description</h2>
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Work Location<br>HYBRID<br> Expected duration<br>6 Months<br> Duties and Responsibilities<br>Background: ESCWA supports evidence-based policymaking and regional cooperation on population issues in the Arab region, with a focus on demographic change, ageing, and migration. Its work includes analyzing population trends and their impact on sustainable development, researching the wellbeing of older persons, and helping governments develop ageing-related policies and strategies. ESCWA also conducts research on migration patterns and policies, including publishing reports and maintaining a regional database of migration laws and regulations to support better migration governance and refugee protection. Duties and Responsibilities: To support these efforts, ESCWA is seeking an intern who will research migration-related laws and policies in Arab countries, analyze and summarize findings, and enter information into the migration database. - Conduct research and analysis on population dynamics, ageing, and migration trends in the Arab region. - Support the preparation of reports and policy briefs on demographic and socioeconomic issues. - Assist in gathering and analyzing data related to population growth, fertility, ageing, and migration. - Contribute to the development of evidence-based policy recommendations. - Support technical assistance activities aimed at strengthening national policies and strategies on ageing. - Assist in organizing capacity-building workshops, training sessions, and high-level meetings. - Prepare background materials, presentations, and meeting documentation. - Facilitate coordination with government representatives, experts, and development partners on population and ageing-related initiatives.<br> Qualifications/special skills<br>To qualify for an internship with the United Nations Internship Programme, the following conditions must be met: 1. Applicants must: (a) be enrolled in a graduate school programme (second university degree or equivalent, or higher); (b) be enrolled in the final academic year of a first university degree programme (minimum bachelor's level or equivalent); or (c) have graduated with a university degree (as defined above); 2. Applicants must: (a) be computer literate in standard software applications. (b) have a demonstrated keen interest in the work of the United Nations and have a personal commitment to the ideals of the UN Charter; and (c) have a demonstrated ability to successfully interact with individuals of different cultural backgrounds and beliefs, which include willingness to try and understand and be tolerant of differing opinions and views. No previous work experience is required for this job opening.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, (fluency OR knowledge of) in (Insert language) is (required OR desirable). Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>A completed online application must include, beside the mandatory Personal History Profile, a Cover Note mentioning the following: • Degree Programme (what are you currently studying?). • Graduation Date (when will you graduate or when did you graduate from the programme?). • List of the IT skills and programmes that you are proficient in. • List of your top three areas of interest. • Explanation of why you are the best candidate for this specific internship. • Explanation of your interest in the United Nations Internship Programme. In your online Personal History Profile, be sure to include all past work experiences, IT skills, and three references. Incomplete applications will not be reviewed. The United Nations accepts no responsibility for the medical insurance of the intern or costs arising from injury, illness or death that may occur during an internship. Therefore, upon awarding an internship, candidates will be required to sign a statement confirming their understanding and acceptance of the conditions of service. Applicants for internship must show proof of valid medical insurance coverage to cover the full period of the internship at the duty station and provide a medical certificate of good health prior to the commencement of the internship. The United Nations accepts no responsibility for loss or damage to personal effects that may occur during the internship. This position allows for flexible working arrangements, contingent upon written agreement by the receiving entity. Interns under these arrangements must commit to an equivalent of at least two months full-time work and complete their internship within six months.<br> Intern Specific text<br>Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Aspire Software is looking for an intermediate Full-Stack Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview As an Intermediate Full Stack Developer, you’ll play a role in the ongoing development of our world-class cloud platform, and be comfortable with both front and back end programming.<br> From understanding the initial set of customer requirements to deploying the final product, you’ll have your hands and mind in all aspects of the implementation.<br> You’ll be responsible for developing and designing front end web architecture and back end systems, ensuring the responsiveness of applications and working alongside graphic designers for web design features, among other duties.<br> At times, you may even find yourself presenting a solution to an external customer or to the entire company looking for feedback.<br> Outcomes and Key Responsibilities Write Quality Code: Build well-designed, testable, efficient, secure code.<br> Follow departmental guidelines for coding standards and participate in code reviews.<br> Test: Write unit tests, service level and UI tests with help as needed from senior teammates.<br> Find and execute test plans and test cases, read and validate automation results.<br> Contribute to Software Design: Share ideas & participate in product, UI, architectural design discussions.<br> Design basic functions with an awareness of overall service architecture, avoiding duplication across codebases and interface-breaking changes.<br> Leverage AI-powered coding assistants to accelerate software development, including code generation, debugging, and refactoring.<br> Knowledge Sharing: Foster a culture of documentation and knowledge sharing within the team and with business stakeholders; actively demonstrate an openness to share and receive information, updates and feedback.<br> Measures of Performance: How You Know You’re Doing Well Process Execution: Every project, automation task, and incident is executed well and completely.<br> We ensure that all work in our system is done to the best of our ability given our knowledge, tooling, and experience.<br> Customer Satisfaction: A desire to ensure a high quality of service to provide the best customer experience, by continually finding the next problem to solve, and solving it well.<br> Effective Cooperation: Collaborate closely with Product Management and Site Reliability teams to consistently meet and surpass customer expectations for quality and reliability.<br> Experience Exposure to Computer Science fundamentals in object-oriented design.<br> Experience developing software services and an understanding of design for scalability, performance and reliability.<br> Familiarity with professional software engineering practices across the entire development life cycle; coding standards, code reviews, source control management build processes, testing.<br> Proficiency in the complete SDLC from Analysis to Deployment.<br> Working proficiency and communication skills in verbal and written English.<br> Proficiency in modern web programming including VueJS, NodeJS, JQuery.<br> Proficiency in modern event based microservice architecture, CQRS and websockets Experience working in Cloud Services including Google, Azure or AWS Competencies Excellent written and verbal communication capability, with an aptitude for breaking down technical topics into easy to understand concepts.<br> An eye for details and specifics, you don’t shy away from data or information; and you relish an opportunity to set things straight or organize.<br> Independent problem solving capabilities, and analytical skills.<br> You don’t give up when you don’t know the answer immediately and you're humble enough to ask for help whenever you need it.<br> Technologies - What You’ll Be Using Apache Cypress Docker GCP Git Gemini AI and Co-pilot Java Jira Linux PostgreSQL VueJS VS Code</span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are growing!<br> We are currently looking to hire an experienced Product Owner to join our Product team.<br> Who we are: Founded in 2006, CXG is a global customer experience uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.<br> The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.<br> We are passionate about delivering impact.<br> Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.<br> What you will be doing You will join a dynamic and fast-paced environment, working under the authority of the CXG CTO and reporting to our Senior Product Manager.<br> As Product Owner, you own the product backlog end-to-end and act as the bridge between business stakeholders and delivery teams.<br> You work across the full CXG product portfolio, including our B2B and B2C platforms and internal tools.<br> You translate business needs into a clear, prioritized backlog of user stories that align with product strategy and business processes, and you champion those requirements throughout the development lifecycle.<br> You are accountable for maximizing the value the team delivers each sprint, making day-to-day scope and priority decisions, and ensuring what ships genuinely solves user problems.<br> You also lead the team of Business Analysts, overseeing their day-to-day work on projects.<br> In addition, you are expected to embed AI-driven ways of working across the product lifecycle, from discovery and requirements through to delivery and support.<br> Here, passion, integrity and a "can-do" attitude are always top of mind.<br> Your daily responsibilities will involve: Own, refine, and prioritize the product backlog, translating business needs into well-defined epics, user stories, and acceptance criteria that align with the product roadmap and business processes.<br> Define scope and lead the requirements process for larger initiatives, including business workshop facilitation and roadmap development, working with business stakeholders, the Product Manager, and the Project Manager to manage the delivery backlog and timelines.<br> Act as the primary decision-maker on backlog priorities during sprints, balancing business value, effort, dependencies, and risk.<br> Engage with colleagues across departments to identify system integration points and dependencies, and develop high-level solution proposals, including scoping master data, reporting, access, and provisioning requirements.<br> Document requirements to the highest standard, including business architecture diagrams, use case definitions, and as-is / to-be process and flow charts.<br> Act as team leader for the Business Analysts team: oversee their work, set priorities, and review their day-to-day activities on projects.<br> Leverage AI tools to accelerate and improve product work, including drafting and refining user stories, analyzing requirements and meeting inputs, summarizing research, and building lightweight prototypes and workflow automations.<br> Contribute to shaping AI-enabled features within the product, partnering with Tech, Dev, and Data teams to define requirements, validate feasibility, and translate AI capabilities into user value.<br> Act as Subject Matter Expert and Product Liaison to the Tech/Dev and QA teams throughout design, build, and release.<br> Oversee testing and quality assurance of applications, ensuring they meet performance, security, and usability standards, and collaborate with QA teams to resolve defects and issues promptly.<br> Provide training and support to systems support specialists and end users, addressing questions and issues related to business applications.<br> Work within an Agile (Scrum) delivery model under the direction of the Product Manager, running backlog refinement, sprint planning, reviews, and stakeholder demos.<br> Effectively manage stakeholders, subject matter experts, executives, and other internal groups through clear written and verbal communication.<br> Manage change: work side by side with the Product Manager to implement new ideas effectively within company strategy, influencing decisions through collaboration, leadership, and a customer-focused approach.<br> What success looks like You will be successful in this role when you are effectively leading and developing the Business Analysts team, running a healthy and well-prioritized backlog that keeps delivery moving, and consistently bringing new features and improved processes to life across the CXG product portfolio.<br> What you will bring along Bachelor's degree Computer Science or Software Engineering; an MBA is a plus with minimum of 5 years in an IT-related field.<br> Minimum of 3–5 years as a Product Owner or Business Analyst on software products (Product Owner experience strongly preferred).<br> Proven experience with Agile (Scrum) methodology and the Product Owner role, including backlog management and story writing.<br> Hands-on experience using AI and generative AI tools, such as Claude, ChatGPT, and Copilot, in a professional context to improve productivity, analysis, or delivery, with a genuine enthusiasm for applying AI to product work.<br> Familiarity with AI and ML product concepts, and the ability to reason about how AI capabilities create user and business value (desirable).<br> Experience with product and project tracking tools (Jira, Azure DevOps/TFS, MS Project, etc.<br>). Strong technical background and familiarity with development tools and REST APIs.<br> Strong stakeholder management skills.<br> Resource and team management skills.<br> Team player with the ability to work on own initiative.<br> Excellent communication skills and mastery of the English language (written and spoken).<br> Strong management reporting and documentation capabilities.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p><h4>Description</h4>
<p>Aspire Software is looking for a senior software developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>The senior AI software developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt. The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product. We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality.</p>
<h4>Areas of key responsibilities</h4>
<ul>
<li>Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack.</li>
<li>Make effective use of AI coding assistants and developer tooling (e.g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability.</li>
<li>Contribute to general software architecture decisions, collaborating closely with the software architect and colleagues from SysOps to make the right technical choices and grow our product.</li>
<li>Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues.</li>
<li>Analyse and fix defects reported by the 2nd level team.</li>
<li>Work with the QA team to fix issues found during the software verification phase prior to rollouts.</li>
<li>Use AI to create unit, performance, and integration tests.</li>
<li>Work with AI pod lead to complete specifications with technical details.</li>
<li>Analyse user metrics, propose, and implement improvements.</li>
<li>Other duties as reasonably directed; adhere to all company policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.</li>
</ul>
<h4>Requirements</h4>
<h4>Background and experience</h4>
<ul>
<li>Relevant job experience and/or a degree in computer science</li>
<li>Minimum 4 years of experience</li>
<li>Solid backend development skills in Java and frontend development skills in TypeScript — i.e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus)</li>
<li>Practical experience using AI-assisted development tools (e.g. AI coding assistants, LLM-based tooling) in a professional software development context</li>
<li>Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions</li>
<li>Experience working with CI/CD and SCM tools</li>
<li>Experience with databases and distributed systems</li>
<li>Basic system/infrastructure knowledge (beneficial for on-call responsibilities)</li>
<li>Experience working with larger software projects</li>
<li>Experience working with cross-cultural and cross-country teams</li>
</ul>
<h4>Skills and abilities</h4>
<ul>
<li>Team-oriented, problem-focused working approach</li>
<li>Accuracy and attention to detail</li>
<li>Ability to connect business and technical problems</li>
<li>Ability to quickly adapt to new technologies and frameworks</li>
<li>Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations)</li>
<li>Willingness to participate in an on-call rotation</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Aspire Software is looking for a senior software developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>The senior AI software developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt. The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product. We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality.</p>
<h4>Areas of key responsibilities</h4>
<ul>
<li>Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack.</li>
<li>Make effective use of AI coding assistants and developer tooling (e.g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability.</li>
<li>Contribute to general software architecture decisions, collaborating closely with the software architect and colleagues from SysOps to make the right technical choices and grow our product.</li>
<li>Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues.</li>
<li>Analyse and fix defects reported by the 2nd level team.</li>
<li>Work with the QA team to fix issues found during the software verification phase prior to rollouts.</li>
<li>Use AI to create unit, performance, and integration tests.</li>
<li>Work with AI pod lead to complete specifications with technical details.</li>
<li>Analyse user metrics, propose, and implement improvements.</li>
<li>Other duties as reasonably directed; adhere to all company policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.</li>
</ul>
<h4>Requirements</h4>
<h4>Background and experience</h4>
<ul>
<li>Relevant job experience and/or a degree in computer science</li>
<li>Minimum 4 years of experience</li>
<li>Solid backend development skills in Java and frontend development skills in TypeScript — i.e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus)</li>
<li>Practical experience using AI-assisted development tools (e.g. AI coding assistants, LLM-based tooling) in a professional software development context</li>
<li>Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions</li>
<li>Experience working with CI/CD and SCM tools</li>
<li>Experience with databases and distributed systems</li>
<li>Basic system/infrastructure knowledge (beneficial for on-call responsibilities)</li>
<li>Experience working with larger software projects</li>
<li>Experience working with cross-cultural and cross-country teams</li>
</ul>
<h4>Skills and abilities</h4>
<ul>
<li>Team-oriented, problem-focused working approach</li>
<li>Accuracy and attention to detail</li>
<li>Ability to connect business and technical problems</li>
<li>Ability to quickly adapt to new technologies and frameworks</li>
<li>Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations)</li>
<li>Willingness to participate in an on-call rotation</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li>
<li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li>
<li>Help improve the external MCP connector schema, authentication, and capability surface.</li>
<li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li>
<li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li>
<li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li>
<li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li>
<li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li>
<li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li>
</ul>
<h4>Requirements</h4>
<h4>AI product development</h4>
<ul>
<li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li>
<li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li>
<li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li>
<li>Experience building quality evaluation and output validation frameworks around AI features.</li>
<li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li>
</ul>
<h4>Platform & architecture thinking</h4>
<ul>
<li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li>
<li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li>
<li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li>
<li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li>
</ul>
<h4>Core stack</h4>
<ul>
<li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li>
<li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li>
<li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li>
<li>Typescript: used on the backend of the MCP layer.</li>
</ul>
<p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p>
<p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p>
<p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p>
<p>Strong presentation, communication, and stakeholder management skills.</p>
<p>Experience working directly with customers and senior business stakeholders.</p>
<p>Excellent problem-solving and analytical skills.</p></p><p></p>
<p><h4>Description</h4>
<p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li>
<li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li>
<li>Help improve the external MCP connector schema, authentication, and capability surface.</li>
<li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li>
<li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li>
<li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li>
<li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li>
<li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li>
<li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li>
</ul>
<h4>Requirements</h4>
<h4>AI product development</h4>
<ul>
<li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li>
<li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li>
<li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li>
<li>Experience building quality evaluation and output validation frameworks around AI features.</li>
<li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li>
</ul>
<h4>Platform & architecture thinking</h4>
<ul>
<li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li>
<li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li>
<li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li>
<li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li>
</ul>
<h4>Core stack</h4>
<ul>
<li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li>
<li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li>
<li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li>
<li>Typescript: used on the backend of the MCP layer.</li>
</ul>
<p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p>
<p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p>
<p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p>
<p>Strong presentation, communication, and stakeholder management skills.</p>
<p>Experience working directly with customers and senior business stakeholders.</p>
<p>Excellent problem-solving and analytical skills.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
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<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Job Overview</strong></p><br><p>Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms.</p><br><p>The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Solution Design </strong></p><br><ul><li>Design and implement integration solutions using Azure services such as:<ul><li><strong>Azure Logic Apps (Standard & Consumption)</strong></li><li><strong>Azure Service Bus (Queues, Topics, DLQ)</strong></li><li><strong>Azure API Management</strong></li><li><strong>Event Grid / Event Hub</strong></li><li><strong>Azure Functions</strong></li></ul></li><li>Translate functional requirements into scalable integration architectures.</li><li>Build robust retry, error-handling, dead-lettering, and monitoring patterns.</li></ul><p><strong>2. Development & Implementation</strong></p><br><ul><li>Develop integration workflows using Logic Apps (stateful and stateless).</li><li>Implement synchronous and asynchronous messaging patterns.</li><li>Build APIs and connectors for internal/external system integrations.</li><li>Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).</li><li>Build reusable components, templates, and enterprise integration patterns.</li></ul><p><strong>3. Service Bus & Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair & replay, and quarantine logic.</li><li>Ensure message security, idempotency, and guaranteed delivery.</li></ul><p><strong>4. API Management</strong></p><br><ul><li>Publish, secure, and monitor APIs using Azure API Management.</li><li>Implement policies (rate limiting, caching, transformation, authentication).</li><li>Manage API lifecycle and developer onboarding.</li></ul><p><strong>5. Monitoring & Support</strong></p><br><ul><li>Implement alerting and observability using:<ul><li><strong>Application Insights</strong></li><li><strong>Log Analytics</strong></li><li><strong>Azure Monitor</strong></li></ul></li><li>Troubleshoot integration failures, performance issues, and message dead-lettering.</li><li>Support production workloads, ensure platform reliability, and optimize cost.</li></ul><p><strong>6. Security & Governance</strong></p><br><ul><li>Apply best practices for identity and access management (Azure AD).</li><li>Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.</li><li>Ensure compliance with company governance and Azure landing zone policies.</li></ul><br>Qualifications<br><p><strong>Required Skills & Qualifications</strong></p><br><ul><li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as <strong>Python, Java, C#, or SQL</strong></li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><br>Additional Information<br><p><strong>Soft skills</strong></p><br><ul><li>Strong analytical skills and capacity to challenge the financial information received</li><li>High sense of organisation and able to manage multiple tasks with strong attention to detail</li><li>Excellent communication skills with the ability to interact with international stakeholders</li><li>Curious, proactive, keen to learn and ready for new challenges</li><li>Ability to work independently while also having a team-oriented mindset.</li></ul><p><strong>Languages</strong></p><br><ul><li>Excellent knowledge of English (written and verbal communication skills)</li><li>Knowledge of any other language is a plus (French)</li></ul><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The main challenges: Due to the funding situation and the merger of the Finance and HR departments, the size of the Administration Department has been significantly reduced over the past period. While the mission was able to secure additional funding resources, the current team structure has not been sufficient to fully absorb the increasing workload and support demands. Key challenges included: Delays in accounting closure and financial reporting processes due to limited staffing capacity. Capacity constraints within the Administration Department in the bases following the restructuring. Increased volume of activities resulting from the ongoing emergency response. A high number of project audits, and donor reports requiring financial and administrative support. Increased demand for operational support across bases and departments despite reduced human resources.</p><p>Priorities for the 2/3 first months: Accounting and internal reporting for Q1, Q2 and Q3 of of 2026 Preparation of budget proposals for upcoming funding opportunities (OCHA, GIZ, etc.) Support the budget holders in bases and coordination in the budget financial management Training for the admin supervisors in the bases on accounting and financial management</p><p>Security constraints: The position is based in Beirut with frequent travel to the 2 bases in Saida and Tripoli. The security in the South has been generally fine since theucfire of April 17. However, in areas South of Saida district security is shaky due to frequent IDF air, drone and artillery strikes. Beirut has been more stable since April 17 but in case of escalations airstrikes can heavily affect the Southern Suburbs and potentially other areas</p><p>SI will offer you A salaried position: According to experience, starting from EUR 2310 gross per month (2100 base salary + 10% annual leave allowance paid monthly) and a monthly Per Diem of USD 750. SI also covers accommodation costs and travel expenses between the expatriate's country of origin and the place of assignment. Breaks: During the assignment, a system of alternation between work and time off is implemented at the rate of 7 working days every three months (with a USD 850 break allowance, allocated by Sl). To these breaks periods, SI grants one (1) additional rest day per month worked. Insurance package: Expatriates benefit from an insurance package which refunds all healthcare expenses (including medical and surgical expenses, dental care and ophthalmological expenses, repatriation) and a welfare system including war risks. Essential vaccination and antimalarial treatment costs are refunded.</p><p>LIVING CONDITIONS: Guesthouse in both Beirut and Saida. Private room with bathroom. Big common area and balcony. Functioning Wi-fi. Proximity with restaurants, supermarkets in Saida.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Education / academic background: Bachelor s degree in Relevant Field</li><li>EXPERIMENT IN THE HUMANITARIAN SECTOR : 3-4 years</li><li>EXPERIMENT ON SIMILAR POSITION : 3-4 years</li><li>Specific skills and experience: Technical skills 1. Accounting skills including use of ERP software (preferably SAGA and/or Microsoft Navision/business central) 2. Financial Management skills: Budgeting, monitoring and donor financial reporting 3. Cash flow and treasury management 4. Management of sub-awards and partner financial monitoring 5. Advanced Excel Skills (advanced formulas, pivot table, chart presentation and financial modeling) 6. Donor compliance and audit preparation (specially for ECHO, GIZ, AFD and UN agencies) 7. Internal control, risk mitigation and implementation of financial procedures 8. Knowledge if taxation and NSSF regulations (salaries, VAT treatment)</li><li>Transversal skills 1. Highly organized with the ability to prioritize multi tasks effectively 2. Experience in facilitation and/or designing trainings and skills development activities 3. Able to work autonomously, with strong time-management skills 4. Excellent communication skills (written and verbal) 5. Strong team Management and teamwork abilities 6. Ability to perform effectively under presusse and in challenging context 7. Detail-oriented and solution-oriented 8. Strong Computer skills is essential</li></ul><p></p></section>
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<span>We are seeking a strategic, adaptable, and highly technical AI Lead to drive the design, architecture, and deployment of enterprise-grade AI solutions. The role bridges business objectives and deep technical execution, taking ownership of end-to-end AI initiatives while leading cross-functional teams and building scalable, production-ready systems in a dynamic environment.<br><br><br>The Key Responsibilities are:<br><br></span><ul><li>Strategic Roadmap Execution: Partner closely with Product leadership to translate complex business KPIs into concrete, actionable technical roadmaps.<br></li><li>Stakeholder Coordination: Act as the primary technical point of contact, organizing cross-functional alignments and managing seamless communication across diverse business stakeholders.<br></li><li>Team Mentorship: Direct and mentor cross-functional engineering and AI talent, establishing best practices across the machine learning lifecycle and fostering a culture of rapid experimentation.<br></li><li>Process Optimization: Establish organizational frameworks to navigate early-stage or unstandardized technical environments, turning ambiguity into structured, scalable engineering workflows.<br></li><li>Agentic AI Ecosystems: Direct the architecture and end-to-end development of custom Agentic AI ecosystems tailored for operational and executive workflows.<br></li><li>Advanced Orchestration: Implement advanced reasoning and decision-support systems, utilizing various orchestration frameworks to progress solutions from simple data retrieval to autonomous task execution.<br></li><li>Predictive & Generative Modeling: Oversee the execution of high-performing models, including predictive forecasting architectures, Natural Language Processing (NLP), and Large Language Model (LLM) RAG infrastructures.<br></li><li>AI Democratization: Advocate for and deploy self-service AI and analytics tools (such as AWS Q or QuickSight) to empower non-technical teams, successfully mitigating data engineering bottlenecks.<br></li><li>End-to-End Lifecycle Management: Design, establish, and maintain standardized DataOps and MLOps production pipelines to streamline the machine learning lifecycle.<br></li><li>CI/CD/CT Automation: Formulate clear standards for continuous integration, continuous deployment, and automated retraining pipelines to accelerate experiment-to-deployment cycles while ensuring absolute reproducibility.<br></li><li>Cloud Architecture: Architect scalable, secure, and production-ready applications, primarily leveraging cloud ecosystems.<br></li></ul><br><br><span>Requirements</span><ul><li>A Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative engineering field is required.<br></li><li>Minimum 8+ years of professional experience in machine learning, AI engineering, or related domains, including leadership experience.<br></li><li>Startup & Immature Environment Exposure: Proven experience navigating an unstandardized or early-stage technical ecosystem, with a demonstrated ability to establish structure and drive operational maturity.<br></li><li>Leadership Experience: A robust background in technical leadership, team management, or directing cross-functional engineering pods.<br></li><li>Strong Coordination Skills: Exceptional organizational capabilities with a track record of coordinating and aligning priorities between business owners and technical teams.<br></li><li>ML & MLOps Lifecycle Architecture: Deep expertise in core Machine Learning modeling and the end-to-end MLOps lifecycle, including CI/CD/CT pipelines and production deployment.<br></li><li>Predictive Modeling & Statistical Inference: Advanced experience deploying classical machine learning architectures, including tree-based ensembles (e.g., XGBoost, Random Forest) for large-scale classification, regression, and predictive tasks.<br></li><li>Agentic Systems & Vector Search: Hands-on experience designing agentic workflows using orchestration frameworks such as Amazon AgentCore and managing vector datasets with Amazon OpenSearch.<br></li><li>Enterprise Analytics & Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability & Observability: Experience implementing production-grade monitoring, observability, and debugging tools (e.g., DataDog) for system uptime and data drift detection.<br></li><li>Cloud Infrastructure (AWS-Centric): Strong architectural knowledge of AWS ecosystems, with additional exposure to multi-cloud environments such as Microsoft Azure considered a plus.<br></li><li>Production Engineering Foundations: Solid experience building production-grade systems, including scalable data ingestion, containerization (Docker), and database engineering across SQL and NoSQL systems.<br></li><li>Work Schedule: Standard working hours aligned with business needs in Lebanon.<br></li><li>Excellent English communication skills.<br></li></ul><br><br> </div>
<p>Result of Service The consultant will design and pilot a small set of policy lenses that extract structured, comparable representations from policy documents, and demonstrate their value on a bounded corpus from a small number of ESCWA member States, in a form that ESCWA can evaluate and extend afterward. The assignment is a feasibility pilot, not a production system: one policy domain, three to five countries, three to five lenses, evaluated qualitatively with policy-expert input. Work Location Remote Expected duration 6 months Duties and Responsibilities Background: The Decision Support and Data Science Division (DSDS) of the United Nations Economic and Social Commission for Western Asia (ESCWA) seeks a part-time consultant to design and pilot Policy Lens, a structured evidence-synthesis approach for policy documents. Comparing how several countries approach a policy issue means reading many national strategies, evaluations and progress reviews, written years apart and with uneven rigour. Patterns across the set: shared causal assumptions, claims backed by evidence versus simply asserted, targets - are hard to see even when the information is in the text. Policy Lens addresses this by applying an analytical lens to the whole document set at once. Each lens rests on a frame: a defined structure with specific fields that every document maps onto, so outputs are comparable across documents rather than readable one at a time. Examples include a Theory of Change lens, an evidence-strength lens and a gap-detection lens. ESCWA already operates two LLM-based systems: Mustashar, a retrieval-augmented question-answering system, and Naseej, an interactive multi-agent system that drafts substantive policy reports and briefs based on a UN knowledge corpus. Both produce prose for a human reader; neither produces structured, comparable representations. Policy Lens is intended as complementary infrastructure that can feed more reliable, structured material into both. The intended source corpus is the Arab Development Portal (ADP), whose Knowledge Hub documents are already tagged by country, SDG and theme, alongside structured indicator data and an SDG data-availability tracker. This lowers the extraction burden for descriptive and gap-detection lenses in a pilot. Duties and responsibilities: Under the supervision of the Chief of DSDS, the consultant will: 1. Design the lens framework. Articulate the lens/frame concept and develop a taxonomy of lenses (descriptive/comparative, causal, gap-detection), with a justification for Theory of Change as the starting point for the causal category. 2. Apply political-neutrality safeguards. Build neutrality into lens design, especially gap-detection lenses, framing findings as opportunities for regional learning or support rather than as country scorecards. 3. Scope the pilot corpus with ESCWA. Agree on one policy domain and three to five countries and select well-structured English-language documents (national strategies, official reports) from ADP and other sources ESCWA provides. 4. Specify and test three to five pilot lenses. Include at least one descriptive lens (e.g. SDG Alignment), one causal lens (e.g. Theory of Change) and one gap-detection lens (e.g. Population Coverage), each with a defined extraction schema. 5. Build a simple extraction and comparison pipeline. Implement three stages extraction, structuring into the lens schema, output generation using LLM APIs within the budget ESCWA confirms, and leveraging existing ADP metadata and indicator data where possible. 6. Produce structured outputs for policymakers. Generate tables, comparison views and simple visualizations (e.g. a theory-of-change diagram per country). 7. Run an expert validation round. Coordinate a lightweight qualitative review of outputs by experts ESCWA identifies, focused on substantive accuracy, and document findings and error patterns. 8. Recommend integration paths. Assess concretely how Policy Lens outputs could feed Naseej (as structured source material for briefs) and Mustashar (as a structured index alongside text retrieval), in consultation with the teams that own those systems. 9. Document and hand over. Deliver code, schemas, prompts and documentation in ESCWA's repositories so the work can be reproduced and extended. 10. Prepare a methods paper (best effort). Draft a methods-oriented paper on the lens/frame approach, grounded in pilot results, for possible submission with ESCWA clearance. Languages English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas. Additional Information Not available. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS BANK ACCOUNTS.</p><p><strong>Desired Candidate Profile</strong></p><p>A Master's degree or equivalent in computer science, data science, computational linguistics, public policy, economics or related area is required. A PhD is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least five years of progressively responsible experience in applied NLP, LLM-based systems or data science is required. Demonstrated experience building LLM pipelines for information extraction or structured output (schema-constrained generation, prompt design, evaluation) is required. Proficiency in Python and common LLM/NLP tooling is required. Experience analyzing public policy documents, evidence synthesis, or Theory of Change and results frameworks is desirable. Familiarity with the SDG framework and development indicators is desirable. Experience with retrieval-augmented or multi-agent systems is desirable. Publications in NLP, computational social science or policy analytics is desirable. Prior work with the UN system or other international organizations, particularly in the Arab region is desirable.</p>
<h2 class="h5">Job description</h2>
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Result of Service<br>The consultant will design and pilot a small set of policy lenses that extract structured, comparable representations from policy documents, and demonstrate their value on a bounded corpus from a small number of ESCWA member States, in a form that ESCWA can evaluate and extend afterward. The assignment is a feasibility pilot, not a production system: one policy domain, three to five countries, three to five lenses, evaluated qualitatively with policy-expert input.<br> Work Location<br>Remote<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The Decision Support and Data Science Division (DSDS) of the United Nations Economic and Social Commission for Western Asia (ESCWA) seeks a part-time consultant to design and pilot Policy Lens, a structured evidence-synthesis approach for policy documents. Comparing how several countries approach a policy issue means reading many national strategies, evaluations and progress reviews, written years apart and with uneven rigour. Patterns across the set: shared causal assumptions, claims backed by evidence versus simply asserted, targets - are hard to see even when the information is in the text. Policy Lens addresses this by applying an analytical lens to the whole document set at once. Each lens rests on a frame: a defined structure with specific fields that every document maps onto, so outputs are comparable across documents rather than readable one at a time. Examples include a Theory of Change lens, an evidence-strength lens and a gap-detection lens. ESCWA already operates two LLM-based systems: Mustashar, a retrieval-augmented question-answering system, and Naseej, an interactive multi-agent system that drafts substantive policy reports and briefs based on a UN knowledge corpus. Both produce prose for a human reader; neither produces structured, comparable representations. Policy Lens is intended as complementary infrastructure that can feed more reliable, structured material into both. The intended source corpus is the Arab Development Portal (ADP), whose Knowledge Hub documents are already tagged by country, SDG and theme, alongside structured indicator data and an SDG data-availability tracker. This lowers the extraction burden for descriptive and gap-detection lenses in a pilot. Duties and responsibilities: Under the supervision of the Chief of DSDS, the consultant will: 1. Design the lens framework. Articulate the lens/frame concept and develop a taxonomy of lenses (descriptive/comparative, causal, gap-detection), with a justification for Theory of Change as the starting point for the causal category. 2. Apply political-neutrality safeguards. Build neutrality into lens design, especially gap-detection lenses, framing findings as opportunities for regional learning or support rather than as country scorecards. 3. Scope the pilot corpus with ESCWA. Agree on one policy domain and three to five countries and select well-structured English-language documents (national strategies, official reports) from ADP and other sources ESCWA provides. 4. Specify and test three to five pilot lenses. Include at least one descriptive lens (e.g. SDG Alignment), one causal lens (e.g. Theory of Change) and one gap-detection lens (e.g. Population Coverage), each with a defined extraction schema. 5. Build a simple extraction and comparison pipeline. Implement three stages — extraction, structuring into the lens schema, output generation — using LLM APIs within the budget ESCWA confirms, and leveraging existing ADP metadata and indicator data where possible. 6. Produce structured outputs for policymakers. Generate tables, comparison views and simple visualizations (e.g. a theory-of-change diagram per country). 7. Run an expert validation round. Coordinate a lightweight qualitative review of outputs by experts ESCWA identifies, focused on substantive accuracy, and document findings and error patterns. 8. Recommend integration paths. Assess concretely how Policy Lens outputs could feed Naseej (as structured source material for briefs) and Mustashar (as a structured index alongside text retrieval), in consultation with the teams that own those systems. 9. Document and hand over. Deliver code, schemas, prompts and documentation in ESCWA's repositories so the work can be reproduced and extended. 10. Prepare a methods paper (best effort). Draft a methods-oriented paper on the lens/frame approach, grounded in pilot results, for possible submission with ESCWA clearance.<br> Qualifications/special skills<br>A Master's degree or equivalent in computer science, data science, computational linguistics, public policy, economics or related area is required. A PhD is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least five years of progressively responsible experience in applied NLP, LLM-based systems or data science is required. Demonstrated experience building LLM pipelines for information extraction or structured output (schema-constrained generation, prompt design, evaluation) is required. Proficiency in Python and common LLM/NLP tooling is required. Experience analyzing public policy documents, evidence synthesis, or Theory of Change and results frameworks is desirable. Familiarity with the SDG framework and development indicators is desirable. Experience with retrieval-augmented or multi-agent systems is desirable. Publications in NLP, computational social science or policy analytics is desirable. Prior work with the UN system or other international organizations, particularly in the Arab region is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br>
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