Python Developer Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p>The Senior Odoo Support Specialist is a full-time, on-site role based in Ras Beirut. This role is responsible for providing high-level technical and functional support to clients experiencing issues with their Odoo ERP systems across all modules. Day-to-day tasks include receiving escalated customer calls, analyzing and diagnosing complex system problems across accounting, sales, inventory, HR, payroll, manufacturing, CRM, project management, e-commerce, and other Odoo modules, guiding users through troubleshooting steps, and ensuring timely resolution of Odoo-related inquiries. The specialist collaborates closely with clients and internal technical teams to resolve software bugs, configure system workarounds, optimize Odoo modules, and support system updates or enhancements. The role also involves documenting support cases, conducting root-cause analysis, providing training on module-specific features, and contributing to the continuous improvement of the company's Odoo support services and knowledge base.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Candidates should possess strong skills in Odoo ERP Administration and Support across multiple modules, including configuration, troubleshooting, and system maintenance.</li><li>Candidates should possess comprehensive knowledge of core Odoo modules including Accounting, Sales, Inventory, HR, Payroll, Manufacturing, CRM, Project Management, E-Commerce, and Warehouse Management.</li><li>Candidates should possess solid Customer Service and Technical Support knowledge, with experience in handling escalated calls and managing client expectations in a multi-module environment.</li><li>Candidates should possess robust Analytical Skills, including the ability to interpret error logs, diagnose software issues across different modules, and propose effective technical solutions.</li><li>Candidates should possess understanding of complex Business Processes and workflows across various departments and their integration within the Odoo ecosystem.</li><li>Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related technical field.</li><li>Experience implementing or providing advanced support for Odoo ERP across multiple modules or similar comprehensive business software solutions.</li><li>Familiarity with ITIL practices and ticketing systems for managing customer support requests.</li><li>Strong communication and client-facing skills, with the ability to explain complex technical concepts to non-technical users over the phone and conduct training sessions.</li><li>Proficiency in Python and PostgreSQL is an advantage for understanding Odoo's backend structure and customizing solutions.</li><li>Ability to work collaboratively in cross-functional teams and manage multiple urgent client issues effectively.</li></ul>

<p>The Senior Odoo Support Specialist is a full-time, on-site role based in Ras Beirut. This role is responsible for providing high-level technical and functional support to clients experiencing issues with their Odoo ERP systems across all modules. Day-to-day tasks include receiving escalated customer calls, analyzing and diagnosing complex system problems across accounting, sales, inventory, HR, payroll, manufacturing, CRM, project management, e-commerce, and other Odoo modules, guiding users through troubleshooting steps, and ensuring timely resolution of Odoo-related inquiries. The specialist collaborates closely with clients and internal technical teams to resolve software bugs, configure system workarounds, optimize Odoo modules, and support system updates or enhancements. The role also involves documenting support cases, conducting root-cause analysis, providing training on module-specific features, and contributing to the continuous improvement of the company's Odoo support services and knowledge base.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Candidates should possess strong skills in Odoo ERP Administration and Support across multiple modules, including configuration, troubleshooting, and system maintenance.</li><li>Candidates should possess comprehensive knowledge of core Odoo modules including Accounting, Sales, Inventory, HR, Payroll, Manufacturing, CRM, Project Management, E-Commerce, and Warehouse Management.</li><li>Candidates should possess solid Customer Service and Technical Support knowledge, with experience in handling escalated calls and managing client expectations in a multi-module environment.</li><li>Candidates should possess robust Analytical Skills, including the ability to interpret error logs, diagnose software issues across different modules, and propose effective technical solutions.</li><li>Candidates should possess understanding of complex Business Processes and workflows across various departments and their integration within the Odoo ecosystem.</li><li>Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related technical field.</li><li>Experience implementing or providing advanced support for Odoo ERP across multiple modules or similar comprehensive business software solutions.</li><li>Familiarity with ITIL practices and ticketing systems for managing customer support requests.</li><li>Strong communication and client-facing skills, with the ability to explain complex technical concepts to non-technical users over the phone and conduct training sessions.</li><li>Proficiency in Python and PostgreSQL is an advantage for understanding Odoo's backend structure and customizing solutions.</li><li>Ability to work collaboratively in cross-functional teams and manage multiple urgent client issues effectively.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.<br> You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.<br> This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.<br> ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users ❏ Build automated reporting, monitoring, and business intelligence workflows ❏ Conduct workflow discovery sessions and identify automation opportunities across departments ❏ Create technical documentation, architecture diagrams, and deployment guidelines ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems ❏ Have hands-on experience with n8n, Make.<br>com, Zapier, or similar automation platforms ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies ❏ Understand prompt engineering, AI orchestration, and agent-based systems ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools ❏ Have experience working with structured and unstructured data ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies ❏ Have built customer service, sales, HR, finance, or operations AI agents ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications ❏ Think in systems and enjoy simplifying complex business processes ❏ Communicate clearly and take ownership of delivery ❏ Have strong troubleshooting and problem-solving skills ❏ Are comfortable working directly with clients and stakeholders ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies ❏ Have a track record of reducing manual processes through intelligent automation ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients ❏ Continuously identify opportunities to introduce AI and automation into business operations</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Result of Service</p><p>1- Deliverable 1: A high-dimensional analytical matrix capturing structural proximity and relatedness across the production universe, serving as an interactive-visual network diagnostic asset to identify diversification-linked financing opportunities and associated exposure to illicit financial flow risks.</p><p>2- Deliverable 2: Apply data-driven models to prioritize products and sectors based on national capability structures. The deliverable will include a technical note identifying strategically linked products, feasible diversification pathways, financing opportunities, and potential finance entry points, while applying rigorous filters to exclude spurious, non-productive, or phantom investment-driven linkages.</p><p>3- Deliverable 3: A diagnostic report identifying high-potential product pathways while highlighting sectors structurally vulnerable to illicit financial flows.</p><p>4- Deliverable 4: A Python-based Inter-sectoral Structural Coefficients framework that transforms raw bilateral investment statistics into a standardized long-panel dataset for gravity-model analysis and detection of disguised flows.</p><p>5- Deliverable 5: A sector and product clustering matrix-based industries and products with similar production structures, supplier dependencies, and capability requirements.</p><p>6- Deliverable 6: Excel file and summary report assessing cluster-level production values, priority manufacturing ecosystems, high-value product groups, and opportunities for industrial upgrading and investment targeting.</p><p>7- Deliverable 7: Revised summary report incorporating FfD comments.</p><p>8- Deliverable 8: An econometric modeling framework to assess structural feasibility, upgrading potential, and capability spillovers across interconnected products and sectors.</p><p>9- Deliverable 9: Revised output (deliverable 7) incorporating FfD comments</p><p>10- Deliverable 10: Excel file and summary report assessing and synthesizing the outputs of the econometric models.</p><p>11- Other deliverables related to the tasks mentioned above as requested by the Hiring Manager including, but not limited to, graphs, charts, briefings, excel files, tables, etc.</p><p>Work Location Remote</p><p>Expected duration 8 months</p><p>Duties and Responsibilities</p><p>Background</p><p>ESCWA supports Arab countries in strengthening national and regional financing systems to accelerate progress toward the 2030 Agenda for sustainable development. Through an integrated approach that combines policy dialogue, analytical research, capacity-building, and digital innovation, ESCWA assists member States in mobilizing and managing financing across key sources, including domestic public resources, private investment, international development cooperation, trade and investment flows, and sustainable debt management. This work is aligned with global commitments, including the Seville Commitment, which underscores the importance of strengthening accountability and governance in financing development, as well as the mandates to address financing leakages as a key enabler of financing sustainable development. (paragraphs 29 (a) &amp; (c), 28 (e), and 33 (a)). Central to this work is the conduct of detailed diagnostics of the financing for development landscape, analysing the various sources of financing available to address five major financing rifts that continue to impede sustainable development in the Arab region: financing insolvencies, financing inequalities, fiscal space constraints, funding shortfalls, and debt-financing overhangs. In response, ESCWA advances regional cooperation on domestic resource mobilization, integrated financing solutions, diversifying sources of revenues and addressing leakages related to illicit financial flows and investment distortions. These efforts are complemented by policy recommendations and practical tools to support governments in improving revenue mobilization and financing strategies. In parallel, ESCWA has developed a forward-looking digital financing ecosystem composed of analytical and AI-powered tools that enable governments assess financing gaps, improve spending efficiency, optimize public spending, address illicit financial flows, strengthen multiple aspects of their financing strategies, enhance policy targeting, accelerate progress towards the SDGs, and design integrated financing strategies aligned with national development priorities. This ecosystem has received recognition at multiple institutional levels and has been endorsed under the Seville Platform of Action and recognized by DESA as a scalable, real-life application that can be adapted and replicated across countries and regions. Within this context, ESCWA seeks a consultant to provide support in the implementation of various FfD activities as detailed below.</p><p>Duties and Responsibilities</p><p>1- Map productive linkages across pilot country/countries production base and financing structure to identify sectoral interdependencies, financing bottlenecks, and opportunities for higher-value economic transformation.</p><p>2- Estimate latent financing-space linkages by combining prospective structural configurations, visualization tools, and empirical signals of capability-space adjacency to identify feasible pathways for economic diversification and financing mobilization for blended finance while addressing resource leakages.</p><p>3- Construct and align a high-dimensional proximity matrix across the production universe, integrating relevant product, sectoral, industrial, and financing classification systems to enable comparable mapping of productive and financing linkages, identify tax- and trade-based leakage channels, and detect unrealized or suboptimally realized productive potential.</p><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">A master s degree or equivalent in economics, finance, econometrics, business analytics, or related field is required. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1.5 years of professional work experience in analyzing macro-financing and industrial policy issues, particularly data-driven, microfinancing and econometric modeling, is required. One year of previous work experience in research, data analytics, and data analysis is required. One year of experience in research, data extraction or using statistical tools is required. Knowledge of STATA statistical package to process and analyze data is required. Knowledge of Python, machine learning techniques is required. Good knowledge of econometrics is desirable. 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 both English and Arabic languages are 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.</p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About OLX OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon.<br> Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for individuals and businesses.<br> Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.<br> OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users.<br> Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.<br> We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people's everyday lives.<br> About the role As the DevOps Engineer, you will ensure the stability, scalability, and automation of OLX Lebanon’s digital infrastructure.<br> You will bridge software development and operations, enabling continuous integration and continuous delivery of products with efficiency and reliability.<br> You will collaborate closely with development teams from initial design through deployment, leveraging your experience in Terraform, AWS, Docker, and CI/CD pipelines.<br> Serve as a primary owner of production infrastructure health, ensuring system performance, scalability, and reliability.<br> Design, build, and manage AWS infrastructure using Terraform and best practices for infrastructure-as-code.<br> Implement and optimise CI/CD pipelines with GitHub Actions and Docker to enable seamless automated deployments.<br> Maintain secure, monitored, and highly available systems and services.<br> Develop automation tools to support monitoring, scaling, and deployment processes.<br> Troubleshoot and resolve issues across application, infrastructure, and networking layers.<br> Support migrations from legacy environments to modern AWS-based infrastructures with minimal downtime.<br> Participate in 24/7 on-call rotations to ensure system uptime and incident resolution.<br> Document infrastructure designs, deployment procedures, and troubleshooting guides.<br> A fast-paced, high-performing team.<br> Rewards &amp; Recognitions Learning &amp; Development opportunities #LebanonOLX Bachelor's Degree in Computer Science, Engineering or equivalent field and significant experience in DevOps.<br> AWS Solutions Architect certification is a plus.<br> +2 years of professional DevOps experience in high-availability, customer-facing environments.<br> AWS cloud environments (EKS, EC2, S3, RDS, CloudWatch, etc.<br>). Infrastructure as Code with Terraform.<br> Containerization and orchestration using Docker and Kubernetes.<br> CI/CD pipelines using GitHub Actions and Jenkins.<br> Monitoring, scaling, and automating distributed systems.<br> Experience with caching systems (Redis, Memcached) and databases (MySQL, PostgreSQL).<br> Terraform for infrastructure provisioning.<br> AWS, EKS, Docker, and Kubernetes.<br> CI/CD best practices and deployment automation.<br> Experience with microservices and distributed architectures.<br> Practical understanding of cloud security, DNS, load balancing, and network routing.<br> Ability to plan, automate, monitor, and troubleshoot complex infrastructure systems.<br> Strong scripting and automation skills (Bash, Python, or similar).<br> Excellent communication and collaboration skills across technical and non-technical teams.<br> Strong problem-solving and analytical thinking abilities.<br> Ownership mindset with accountability for uptime and performance.<br> Passion for automation, reliability, and innovation.<br> Integrity and commitment to quality and security.<br> Customer-first mentality with proactive communication.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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 &amp; 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 &amp; 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 &amp; Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair &amp; 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 &amp; 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 &amp; 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 &amp; 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,&nbsp; 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 &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse, its integrations, and connected services. The role focuses on testing and validating data pipelines, event-driven processes, and Azure-based integrations such as Logic Apps and Service Bus. The engineer will collaborate closely with data engineers, architects, and business units to maintain high-quality, trustworthy data for analytics and reporting. Key Responsibilities Design, develop, and execute data quality and validation tests for Microsoft Fabric Data Warehouse objects (tables, views, semantic models). Validate ETL/ELT pipelines, including Fabric Dataflows and integrated source systems, for accuracy and completeness. Test and monitor event-driven data processes, including Azure Service Bus messages, queues, and topics. Validate Azure Logic Apps workflows and integrations that move or transform data between systems. Perform end-to-end testing of data ingestion, transformations, and delivery to downstream consumers or BI systems. Develop and maintain automated data quality checks, reconciliation scripts, and test frameworks. Identify, analyze, and report data quality issues, including root cause analysis and impact assessment. Collaborate with Data Engineers, BI teams, and business units to define data quality rules, metrics, and acceptance criteria. Monitor data quality KPIs, implement controls to prevent defects, and ensure reliability in production pipelines. Document test cases, workflows, data quality rules, and testing outcomes clearly for technical and business stakeholders. Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Azure Logic Apps testing, and Service Bus testing scripts. Perform unit testing and validation of Azure Logic Apps workflows and Service Bus message flows. Develop and maintain automated data quality checks and integration tests using tools such as dbt, Great Expectations, or custom scripts. Validate and test API endpoints and integration workflows using tools such as Postman to ensure data is accurately transmitted between systems. Perform end-to-end testing of event-driven processes and service integrations using Postman and automated scripts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><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><p>Required Skills &amp; Qualifications</p><ul><li>Strong experience in data quality testing and validation for data warehouses or large-scale analytics platforms.</li><li>Hands-on experience with Microsoft Fabric (Data Warehouse, Lakehouse, Pipelines, Dataflows).</li><li>Proficiency in SQL and experience validating ETL/ELT pipelines.</li><li>Experience with event-driven architectures and Azure integrations: Azure Service Bus (queues, topics, subscriptions) Azure Logic Apps for workflow automation</li><li>Experience testing data integrations across multiple source systems.</li><li>Familiarity with data quality concepts: completeness, accuracy, consistency, timeliness, uniqueness.</li><li>Experience with automation and scripting (Python, PySpark, PowerShell).</li><li>Understanding of data modeling concepts: star schema, snowflake, fact and dimension tables.</li><li>Strong analytical, problem-solving, and troubleshooting skills.</li><li>Excellent documentation and communication skills.</li><li>Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Postman, Azure Logic Apps testing, and Service Bus testing scripts .</li></ul><p>Preferred / Nice to Have:</p><ul><li>Experience with data quality frameworks (e.g., Great Expectations).</li><li>Knowledge of Azure Data Factory, Synapse Analytics, and OneLake.</li><li>Familiarity with CI/CD pipelines for data platforms.</li><li>Understanding of data governance, metadata management, and auditing standards.</li></ul><p></p></section>

<p>The objective is to conduct a comprehensive evaluation of a national development plan through: the collection and analysis of macroeconomic, sectoral and socioeconomic data; application of econometric and statistical techniques to develop plausible counterfactual scenarios; assessment of progress toward development objectives.</p><p>The United Nations Economic and Social Commission for Western Asia (ESCWA) supports member States in designing, implementing and evaluating development strategies through evidence-based economic analysis. As countries increasingly rely on medium-term development plans to foster sustainable growth, economic diversification, fiscal resilience, productivity, employment and social development, there is a growing need for rigorous assessments of policy interventions while accounting for external shocks, structural factors and changing economic conditions.</p><p>The Individual Contractor (IC) shall undertake the following tasks:</p><p>Review plan documents and related policy material; Identify relevant indicators, targets and evaluation questions; Collect, compile, clean and harmonize macroeconomic, sectoral and socioeconomic datasets from national and international sources; Develop databases and documentation suitable for quantitative analysis; Contribute to design an evaluation framework and analytical methodology; Apply econometric techniques, including time series and panel data analysis, as appropriate; Support ESCWA s broader analytical work and outputs, as needed; Assess performance across key macroeconomic and sectoral indicators; Conduct robustness checks and sensitivity analysis; Prepare reports, technical notes, presentations and policy recommendations.</p><p><strong>Desired Candidate Profile</strong></p>A Master's degree in Economics, Econometrics, Statistics, Development Economics, Data Science, or a related field is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1 year of professional work experience in macroeconomic analysis, applied economics, econometrics, development planning, economic modelling or policy evaluation is required. Demonstrated experience working with macroeconomic and socioeconomic data is required. Strong knowledge of econometric methods, including time-series and panel-data analysis, is desirable. Proficiency in Stata, R, Python, EViews or similar analytical software is required. Experience in preparing analytical reports for governments, international organizations or research institutions is required. Experience in the Arab region is desirable. 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 both Arabic and English are 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.

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n<li>8+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>About Namou Properties</h4> <p>Namou Properties is a growing real estate company focused on innovation, smart investment opportunities, and building data-driven systems that improve how we operate and scale.</p> <h4>About the role</h4> <p>We are looking for a detail-oriented remote QA engineer to join the team behind our internal ERP platform. You will be responsible for ensuring the quality, reliability, and data integrity of a system that supports core business operations.</p> <p>This role combines manual and automated testing, close collaboration with developers and the product team, and a strong emphasis on clear documentation and communication.</p> <h4>Key responsibilities</h4> <ul> <li>Design, write, and execute test cases for new features and enhancements across ERP modules</li> <li>Perform integration testing to validate how different modules and external systems exchange data</li> <li>Automate repetitive test scenarios using tools such as Selenium</li> <li>Write SQL queries to verify data accuracy and integrity across database tables</li> <li>Test backend services and RESTful APIs using tools such as Postman</li> <li>Document, track, and manage bugs through their full lifecycle, following the team's workflow</li> <li>Investigate complex system issues, isolate root causes, and communicate findings clearly to developers and stakeholders</li> <li>Participate in sprint planning and UAT cycles, and contribute to improving QA processes and test documentation</li> <li>Maintain organized, well-structured records of test cases, bug reports, and QA processes</li> </ul> <h4>Requirements</h4> <ul> <li>1–3 years of experience in software quality assurance or testing</li> <li>Understanding of core business processes (e.g., inventory, supply, sales) and how they flow through ERP systems</li> <li>Hands-on experience with integration testing across modules and external systems</li> <li>Working knowledge of test automation tools such as Selenium</li> <li>Ability to write SQL queries to validate data accuracy and integrity</li> <li>Solid understanding of APIs and RESTful services, with experience using Postman or similar tools</li> <li>Basic scripting knowledge (e.g., Python, JavaScript) to support test automation</li> <li>Strong analytical thinking and root-cause analysis skills</li> <li>Excellent written and verbal communication skills for reporting bugs and issues clearly</li> <li>Highly organized, with strong documentation habits for bugs, processes, and test cases</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience documenting and managing bugs in Jira</li> <li>Exposure to ERP, CRM, or other enterprise business systems</li> </ul> <h4>Benefits</h4> <h4>Why join Namou Properties</h4> <ul> <li>Fully remote role with flexibility and autonomy</li> <li>Opportunity to work on real ERP automation and data-driven systems that directly impact business operations</li> <li>Exposure to modern technologies, automation tools, AI solutions, and scalable business platforms</li> <li>High ownership role where your contributions will directly improve how the company operates and grows</li> <li>Collaborative environment with close interaction with developers, product teams, and business stakeholders</li> <li>Competitive compensation with opportunities for professional growth and career development</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>

The AI Platform Engineer is responsible for designing, building, deploying, and maintaining the infrastructure, platforms, and applications that support the organization's AI initiatives. The role focuses on developing AI-enabled solutions, AI agents, and Model Context Protocols (MCPs), while ensuring scalable, secure, and reliable deployment environments. The AI Platform Engineer works closely with the AI Transformation team, business stakeholders, and ICT teams to deliver innovative AI solutions that drive operational efficiency and business value. <br> <br>Duties & Responsibilities <br>A. AI Platform & Infrastructure Management <br>• Build, configure, and maintain AI development, testing, and production environments. <br>• Manage AI infrastructure components to ensure scalability, performance, reliability, and security. <br>• Support the deployment and operation of AI models, services, and applications across cloud and on-premises environments. <br>• Monitor platform performance and implement improvements to optimize availability and efficiency. <br>• Troubleshoot infrastructure, deployment, and integration issues related to AI solutions. <br> <br>B. AI Solutions Development <br>• Design and develop AI-powered applications, tools, and services to support business requirements. <br>• Build and maintain AI agents, MCPs (Model Context Protocols), and workflow automation solutions. <br>• Integrate Large Language Models (LLMs) and other AI technologies into enterprise applications. <br>• Develop APIs and backend services to support AI capabilities and system integrations. <br>• Contribute to the evaluation and adoption of emerging AI technologies and frameworks. <br> <br>C. Full-Stack Application Development <br>• Develop and maintain front-end interfaces for AI-powered applications and platforms. <br>• Design and implement scalable backend services, APIs, and integration components. <br>• Ensure applications are secure, maintainable, and aligned with development standards. <br>• Participate in application testing, debugging, performance tuning, and optimization activities. <br> <br>D. Cloud & DevOps Operations <br>• Deploy and manage AI applications and services on Microsoft Azure. <br>• Support CI/CD pipelines and deployment automation for AI and software development projects. <br>• Manage cloud resources and environments to ensure efficient utilization and cost optimization. <br>• Implement monitoring, logging, and operational support processes for deployed solutions. <br>• Ensure adherence to security, governance, and infrastructure best practices. <br>E. Collaboration & Innovation <br>• Collaborate with AI engineers, data scientists, software developers, and business stakeholders to deliver AI initiatives. <br>• Participate in solution design sessions and contribute technical recommendations. <br>• Document technical architectures, deployment procedures, and development standards. <br>• Stay current with advances in AI, cloud technologies, development frameworks, and industry best practices. <br>• Support experimentation, prototyping, and innovation activities within the AI Transformation Department. <br> <br> <br>Skills/Qualifications <br>Education <br>• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field. <br> <br>Experience / Knowledge <br>• 3–5 years of experience in software engineering, platform engineering, AI engineering, or related technical roles. <br>• Experience building and deploying applications in cloud environments, preferably Microsoft Azure. <br>• Hands-on experience developing AI-enabled applications, AI agents, and MCP-based solutions. <br>• Strong knowledge of modern AI frameworks, tools, and LLM ecosystems. <br>• Experience with API development, system integrations, and microservices architecture. <br>• Familiarity with containerization technologies and deployment automation tools is an advantage. <br>• Experience working with Linux environments is preferred. <br> <br>Technical Skills <br>• Proficiency in front-end and back-end development technologies. <br>• Strong programming skills in languages such as Python, JavaScript/TypeScript, or similar. <br>• Experience with Azure services, cloud deployment, and infrastructure management. <br>• Knowledge of REST APIs, databases, authentication mechanisms, and application security. <br>• Understanding of DevOps practices, CI/CD pipelines, and version control systems. <br> <br>Competencies <br>• Strong analytical and problem-solving skills. <br>• Ability to work independently and manage multiple priorities. <br>• Strong communication and collaboration abilities. <br>• Continuous learning mindset with a passion for emerging AI technologies. <br>• Attention to detail and commitment to delivering high-quality solutions. <br>• Ability to operate effectively in a fast-paced, innovation-driven environment

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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. Your Mission QA team s main mission is to ensure the delivery of the different software artifacts of the corresponding Murex BPCs with high quality and standards. Our testers, test leads, and test managers follow the development activity closely going from specifications review to manual validation testing in dev branch to Mainstream integration testing and conclude the activity with pre-release testing campaigns. The team works to enhance the Murex experience by ensuring an initial quality of the delivered features combined with an efficient regression coverage calibrated by continuous customer feedback</p><p>Your Role</p><ul><li>Acquire business and MX.3 expertise in the assigned module, and understand how customers use it</li><li>Actively participate in the planning of the product delivery with the agile team</li><li>Design and execute test plans based on the product acceptance criteria and the customer needs</li><li>Build an efficient and effective test suite by automating test scenarios following the testing standards</li><li>Analyze results of manual and automated tests by performing root cause analysis of encountered behaviors, following up on identified issues (regressions, bugs, impacts ) with corresponding peers (developers, business analysts) till resolutions, and fixing/adapting tests when relevant</li><li>Maintain a suite of automatic tests on the mainstream code line and the customers releases/patches to ensure that the integration of new code does not negatively impact the global quality of the platform</li><li>Enhance the overall quality of the MX platform by identifying test coverage gaps and closing them via the right means</li><li>Optimize the path to achieve quality, by continuously improving tests and processes efficiency</li><li>Provide timely and accurate feedback to his team/program on progress of issues and tasks and escalate problems when necessary</li><li>Develop product and financial expertise through continuous learning i.e. e-learning, internal fun competitions, reading, on-the-job experience, knowledge sharing</li><li>Develop technical, testing, and agile methodologies expertise through on the job, continuous learning</li><li>Share acquired expertise with peers through knowledge base, collaboration, training, and communities of practice</li><li>Suggest new ideas and approaches to enhance current processes and procedures</li><li>Build and develop a solid network within Quality Assurance team and with developers, business analysts, product managers</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineering or Computer Science degree (bachelor or masters) or equivalent</li><li>At least 4 to 5 years of experience in software development</li><li>Financial background is a plus</li><li>English is a must. French a plus</li><li>Technical skills such as SQL, XML, Unix, Windows, JSON, Java, C++, Python, REST</li><li>Testing knowledge is a plus</li><li>Strong analytical thinking and problem-solving skills</li><li>Communication skills written and spoken</li><li>Teamwork and cross group collaboration</li><li>Drive for excellence</li><li>Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical)</li><li>Ability to work under pressure in a continuously evolving &amp; challenging environment</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>POSITION PROFILE</b> In response to the shifting humanitarian financing landscape, IMPACT is placing greater emphasis on producing light, consistent, and decision-oriented analysis products , which summarize available data and inform key decisions. This position will be working on a new flagship analytical output that provides a concise, actionable understanding of acute humanitarian needs across geographies and population groups within a crisis. The (Senior) Analyst Acute Needs Analysis will be responsible for producing this analytical product at country level. This includes reviewing and synthesizing data, conducting structured analysis using IMPACT s global analytical guidance, and producing a short, high-impact external brief. The analyst will work closely with GIS, data, and design colleagues to incorporate visual elements into the final output. The final analytical product will play a key role in informing humanitarian prioritization decisions, including but not limited to the Humanitarian Programme Cycle (HPC), HNRPs, and donor resource allocation. RESPONSIBILITIES DEVELOPMENT OF ANALYTICAL PRODUCT - ACUTE HUMANITARIAN NEEDS Lead the implementation and delivery of the analysis project at the country level, in coordination with the HQ programme team. Align the rollout with global schedules and ensure adherence to IMPACT s analytical standards. Develop and maintain a strong stakeholder mapping and a network of collaborators at country level to enhance contextual understanding / monitoring. Ensure development of user-centered products and, where relevant, support joint analysis with relevant stakeholders. DATA REVIEW AND CONSOLIDATION Collect and synthesize relevant secondary data from REACH assessments, UN agencies, INGOs, and public datasets (e.g., OCHA, FEWS NET, IPC), including via building and maintaining necessary relationships. Evaluate data reliability and identify critical gaps. Support decisions on the need for targeted, light-touch primary data collection. ANALYTICAL PROCESS AND INTERPRETATION Apply IMPACT s global analytical guidance to produce structured, consistent, and context-relevant analysis of acute humanitarian needs. Use defined frameworks (e.g. Risk of Excess Mortality) to classify severity levels, population groups, and geographic areas of concern. Clearly document assumptions, limitations, and analytical reasoning. OUTPUT PRODUCTION AND DISSEMINATION Draft the Acute Needs Analysis brief using standardized global templates and language. Collaborate with GIS and design colleagues to include maps, caseload tables, and other visual aids. Ensure internal review and validation of the product before dissemination. Present findings to clusters, working groups, and donors as needed. As needed, support the development of Global Key Messages based on country level findings.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Note, the position can be at Senior Analyst or Analyst level, based on the experience of the candidate. REQUIRED QUALIFICATIONS • 3 years of relevant working experience in a humanitarian setting, such as analysis, assessments, monitoring and evaluation and research design etc.; • Excellent academic qualifications , including a master s degree or equivalent in a relevant discipline (e.g. international studies, development, humanitarian response, data science, political science, etc.); • Previous experience working on REACH Acute Needs Analysis is an asset. TECHNICAL SKILLS • Excellent analytical and critical thinking skills with experience of interpreting complex data and producing clear, actionable insights. • Strong writing skills and experience producing clear, concise briefs for external audiences. • Proficiency in Excel , with experience of an additional analytical tool (e.g. PowerBI, SPSS, R, STATA, or Python) and an understanding of basic GIS processes and outputs an asset. • Familiarity with different qualitative and quantitative research methods , with the ability to evaluate the quality of different data sources. • Understanding of humanitarian coordination systems , including HPC and inter-agency needs analysis and assessments. COMMUNICATION AND ORGANIZATIONAL SKILLS • Ability to manage complex workflows and deliver high-quality outputs under tight deadlines. • Experience engaging with external stakeholders (e.g. clusters, donors, UN agencies). • Fluency in English required ; additional languages required based on location (see Additional Requirements ). • Comfortable working in cross-cultural, fast-paced environments. • Sound judgment and emotional intelligence in high-pressure or sensitive situations, strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities. • Language : Arabic is an asset but not necessary</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>As a Software Quality Assurance Engineer, you will collaborate closely with the development and product teams to ensure delivery of reliable, efficient, and user-friendly software solutions that meet client needs. You will be responsible for designing and executing test strategies, identifying and resolving defects, and contributing to the continuous improvement of our applications and QA processes. This role offers the opportunity to have a direct impact on product quality and user experience while working in a dynamic, collaborative environment.<br><br><b><span>You Will</span></b><br><br></span><ul><li><span>Work closely with developers, product managers, and designers to ensure software quality throughout the development lifecycle. <br></span></li><li><span>Participate in requirement reviews, sprint planning, and daily stand-ups to ensure clear understanding of acceptance criteria.<br></span></li><li><span>Identify, document, and track software defects, verifying fixes and ensuring timely resolution.<br></span></li><li><span>Contribute to the development of new features and product enhancements through active testing and feedback.<br></span></li><li><span>Design, develop, and execute manual and automated end-to-end test scripts using Playwright.<br></span></li><li><span>Leverage GitHub Copilot in agent mode alongside the Playwright MCP server to efficiently generate end-to-end tests.<br></span></li><li><span>Use GitHub Copilot in agent mode to assist in creating, maintaining, and executing performance test plans using Locust to evaluate system performance, scalability, and stability under load.<br></span></li><li><span>Integrate automated tests into the CI/CD pipeline using GitHub Actions to ensure consistent and reliable test execution across builds and deployments.<br></span></li><li><span>Communicate effectively with team members and stakeholders to align on priorities and deliverables.<br></span></li><li><span>Maintain and enhance QA documentation, processes, and testing frameworks.<br></span></li><li><span>Support regression and release testing to ensure smooth deployments.<br></span></li><li><span>Stay up to date with QA tools, automation frameworks, AI tools, and testing best practices.<br></span></li></ul><br><span>Requirements<span><b>To Be Successful in The Role You Will Need</b></span> <br><br></span><ul><li><span>Bachelor's or master's degree in computer science, engineering, or a related field. <br></span></li><li><span>3+ years of experience in software quality assurance or software testing<br></span></li><li><span>Strong understanding of QA methodologies, test design techniques, and SDLC processes.<br></span></li><li><span>Hands-on experience with test management and defect tracking tools (e.g., Jira).<br></span></li><li><span>Good programming or scripting skills (e.g., Python, Java, or JavaScript).<br></span></li><li><span>Familiarity with automation tools or frameworks (e.g., Playwright, Cypress, or Selenium).<br></span></li><li><span>Familiarity with performance testing tools (e.g., Locust, or JMeter).<br></span></li><li><span>Familiarity with CI/CD pipelines (preferably GitHub Actions).<br></span></li><li><span>Familiarity with AI tools to streamline test script generation and enhance overall testing efficiency.<br></span></li><li><span>Knowledge of databases such as MySQL, or PostgreSQL.<br></span></li><li><span>Excellent analytical and problem-solving skills with strong attention to detail.<br></span></li><li><span>Strong communication and collaboration skills.<br></span></li><li><span>Ability to thrive in a fast-paced, team-oriented environment.<br></span></li></ul><p>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect and inclusion.<br></p><br><p>Are you interested in working with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The objective is to conduct a comprehensive evaluation of a national development plan through: the collection and analysis of macroeconomic, sectoral and socioeconomic data; application of econometric and statistical techniques to develop plausible counterfactual scenarios; assessment of progress toward development objectives.<br> Work Location<br>UN-House ESCWA<br> Expected duration<br>4 months<br> Duties and Responsibilities<br>1. Background The United Nations Economic and Social Commission for Western Asia (ESCWA) supports member States in designing, implementing and evaluating development strategies through evidence-based economic analysis. As countries increasingly rely on medium-term development plans to foster sustainable growth, economic diversification, fiscal resilience, productivity, employment and social development, there is a growing need for rigorous assessments of policy interventions while accounting for external shocks, structural factors and changing economic conditions. 3. Duties and Responsibilities The Individual Contractor (IC) shall undertake the following tasks: • Review plan documents and related policy material; • Identify relevant indicators, targets and evaluation questions; • Collect, compile, clean and harmonize macroeconomic, sectoral and socioeconomic datasets from national and international sources; • Develop databases and documentation suitable for quantitative analysis; • Contribute to design an evaluation framework and analytical methodology; • Apply econometric techniques, including time series and panel data analysis, as appropriate; • Support ESCWA’s broader analytical work and outputs, as needed; • Assess performance across key macroeconomic and sectoral indicators; • Conduct robustness checks and sensitivity analysis; • Prepare reports, technical notes, presentations and policy recommendations.<br> Qualifications/special skills<br>A Master's degree in Economics, Econometrics, Statistics, Development Economics, Data Science, or a related field is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. • A minimum of 1 year of professional work experience in macroeconomic analysis, applied economics, econometrics, development planning, economic modelling or policy evaluation is required. • Demonstrated experience working with macroeconomic and socioeconomic data is required. • Strong knowledge of econometric methods, including time-series and panel-data analysis, is desirable. • Proficiency in Stata, R, Python, EViews or similar analytical software is required. • Experience in preparing analytical reports for governments, international organizations or research institutions is required. • Experience 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 both Arabic and English are 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> </div>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI automation engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li><strong>Design, build, and deploy AI-powered workflows</strong> using platforms such as n8n, Make, Zapier, and similar tools</li> <li><strong>Build AI agents</strong> that automate customer service, operations, sales, reporting, and internal business processes</li> <li><strong>Integrate large language models</strong> (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li><strong>Design and implement retrieval-augmented generation (RAG) solutions</strong> using company documents, knowledge bases, and structured data</li> <li><strong>Connect business systems</strong> including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li><strong>Develop AI-powered assistants, chatbots, and internal copilots</strong> for business users</li> <li><strong>Build automated reporting, monitoring, and business intelligence workflows</strong></li> <li><strong>Conduct workflow discovery sessions</strong> and identify automation opportunities across departments</li> <li><strong>Create technical documentation, architecture diagrams, and deployment guidelines</strong></li> <li><strong>Test, troubleshoot, optimize, and maintain automation systems</strong> to ensure reliability and scalability</li> <li><strong>Collaborate with designers, strategists, and developers</strong> to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>