Food industries engineer Jobs

<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 a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><br>Qualifications<br><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul><br>Additional Information<br><ul><li>Experience managing infrastructure for AI/ML or LLM-heavy workloads</li><li>Familiarity with cost optimization for high-throughput API usage</li><li>Experience with GPU infrastructure or inference serving</li><li>Early-stage experience standing up infrastructure from scratch</li></ul><br><br> </div>

<p>Our client a leading telecom company, is looking for a Validation Engineer to join their team in Lebanon. The successful candidate will be responsible for analyzing the performance of implemented energy solutions, validating engineering calculations, identifying optimization opportunities, and supporting continuous improvement through technical analysis and reporting. This role requires a strong understanding of energy systems, data analysis, and performance monitoring across renewable and hybrid energy solutions.</p><p>Key Responsibilities</p><ul><li>Analyze the performance of implemented energy solutions and validate system behavior.</li><li>Review engineering calculations and assess the operational performance of energy systems.</li><li>Analyze energy logs, monitoring system data, and performance reports.</li><li>Prepare performance reports, dashboards, and graphical analyses using Excel and Power BI.</li><li>Identify performance gaps, energy losses, overconsumption, and optimization opportunities through data analysis.</li><li>Support continuous improvement initiatives by providing technical recommendations and performance validation reports.</li><li>Collaborate with cross-functional engineering teams to ensure solution efficiency and accuracy.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Electrical Engineering or Energy Engineering.</li><li>1 3 years of experience in energy engineering, energy validation, or solution performance analysis.</li><li>Strong understanding of engineering calculations for:<ul><li>Solar PV systems</li><li>Battery Energy Storage Systems (BESS)</li><li>Diesel generators</li><li>Hybrid energy solutions</li></ul></li><li>Experience analyzing energy logs, monitoring systems, and operational performance data.</li><li>Advanced proficiency in Microsoft Excel and Power BI.</li><li>Knowledge of energy solution modeling.</li><li>Experience with HOMER is considered an advantage.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication skills and the ability to work effectively with cross-functional teams.</li><li>Fluency in English and French is mandatory.</li></ul>

<p><b>Company Description</b></p><p>RAY LABS is a PropTech company based in Beirut, focused on addressing the pain points related to space and community management. Our core product is a mobile and web SaaS platform offering dynamic features, allowing property, facility, and community managers to efficiently manage communities and spaces. By equipping stakeholders with the relevant capabilities and tools, our platform improves operational efficiency, payment convenience, community engagement, and reduces administrative work.</p><p><b>Position Overview</b></p><p>As a Junior DevOps Engineer, you will play a key role in modernizing the development and deployment lifecycles of our company, by collaborating with our development teams to build and maintain development/deployment pipelines.</p><p><b>Responsibilities</b></p><ul><li>Automate deployment, scaling, and management of containerized applications using Kubernetes (on Azure services and on VMs)</li><li>Maintain and enhance CI/CD pipelines in Jenkins for our codelines:</li><ul><li>Backend (PHP, Java)</li><li>Frontend (Angular)</li><li>Mobile (iOS, Android)</li></ul><li>Deploy and manage monitoring and logging tools to provide centralized reporting for production environments, as well as alerts when critical issues occur.</li><li>Assist developers in monitoring, troubleshooting, and resolving issues in production environments.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements</p><ul><li>1+ years of experience in a DevOps or related role.</li><li>Basic understanding of Kubernetes (min. 6 months hands-on experience or certification).</li><li>Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or equivalent).</li><li>Familiarity with cloud platforms, particularly Azure (knowledge of AWS or GCP is a plus).</li><li>Experience with containerization technologies (Docker).</li><li>Knowledge of infrastructure as code tools (Terraform, Ansible, Helm, or similar).</li><li>Experience with version control (Git).</li><li>Basic scripting knowledge (Bash, Python, Groovy, or similar).</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and teamwork abilities.</li></ul>

<p>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions.<br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques.<br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact.<br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Develop, train, and deploy machine learning models to solve business challenges.</li><li>Work with large datasets to extract insights, clean, and preprocess data.</li><li>Optimize model performance, accuracy, and efficiency.</li><li>Design and implement AI algorithms for task, computer vision, or predictive analytics.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions.</li><li>Stay up to date with the latest advancements in AI/ML and apply innovative techniques.</li><li>Ensure scalability and efficiency of AI solutions in production environments.</li><li>Troubleshoot and fine-tune models for performance improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications &amp; Skills:</strong></p><ul><li>Education: Bachelor s degree in computer science, AI, Data Science, Data Analytics or a related field.</li><li>Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent</li><li>Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering.</li><li>AI Specialization: Strong understanding of deep learning</li><li>Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions.</li><li>Strong communication skills to work effectively with cross-functional teams.</li></ul>

<p>We are seeking a 3D Front-End Engineer / Creative Technologist to build a responsive, interactive 3D avatar customizer and drill-animation engine for our kid-focused mobile football application. In this role, you will bridge the gap between user experience and 3D graphics, translating assets built by our 3D artist into an interactive mobile experience using React Native and React Three Fiber.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><p>Avatar Customization Engine: Build a modular system allowing users to swap 3D meshes and textures seamlessly (hair, jerseys, boots, skin tones) via standard React state.</p><p>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly.</p><p>Pipeline Collaboration: Work closely with our 3D artist to establish asset optimization constraints (low poly counts, texture atlasing, bone naming conventions) tailored for mobile WebGL performance.</p><p>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms.</p><p><strong>Desired Candidate Profile</strong></p><h2>Required Technical Skills</h2><p>Proficient in React Native layout design, state management, and component lifecycles.</p><p>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber.</p><p>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays.</p><p>Experience parsing and manipulating GLTF/GLB models dynamically at runtime.</p><p>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization).</p><h2>Nice-to-Have Skills</h2><p>Experience building software or gamified experiences aimed at children.</p><p>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist.</p><p>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines'</p>

<p>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. This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. 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. 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.</p><p><b><br></b></p><p><b>What you will do</b></p><ul><li>Design and deploy AI agents</li><li>Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis</li><li>Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs</li><li>Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate</li><li>Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability</li><li>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</li><li>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</li><li>Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams</li><li>Redesign business workflows</li><li>Identify high value automation opportunities with functional leaders and operators</li><li>Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical</li><li>Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations</li><li>Help teams redesign work around a clear human and agent division of labour</li><li>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</li><li>Governance, quality and evaluation</li><li>Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation</li><li>Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms</li><li>Test workflows with real users and real operational scenarios before scaling</li><li>Measure agent quality, workflow success, containment, handoff quality and operational value</li><li>Continuously improve workflows based on usage data, user feedback and service outcomes</li><li>Adoption and enablement</li><li>Partner with functional leaders and frontline teams to support rollout and adoption</li><li>Document new ways of working and help train users on how to work effectively with AI agents</li><li>Surface workflow risks, resistance points and improvement opportunities</li><li>Contribute reusable prompts, components, patterns and playbooks to the central AI capability</li><li>Cross functional delivery</li><li>Collaborate with Product, Engineering, Support, Sales and Professional Services teams</li><li>Help prioritise use cases based on measurable business value, feasibility and operational readiness</li><li>Support the central AI capability with value tracking, reporting and continuous learning across initiatives</li><li><b><br></b></li><li><b>What success looks like</b></li><li>Reduction in manual work and process cycle time</li><li>Improved support response times and service leverage</li><li>Workflow success rate and agent task completion quality</li><li>Ticket containment or deflection where relevant</li><li>Handoff quality for escalated or human reviewed work</li><li>User adoption of AI enabled workflows</li><li>Hours saved and team capacity created</li><li>Contribution to service, productivity and customer outcomes</li><li>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.</li><li>Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value</li><li>Strong working knowledge of AI and machine learning tools, large language models and agent frameworks</li><li>Experience building AI agents, workflow automations or AI powered internal tools</li><li>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</li><li>Ability to go from zero to functional prototype quickly</li><li>Strong systems thinking and comfort working across tools, processes and teams</li><li>Comfort with ambiguity and the ability to help define the problem as well as the solution</li><li>Bias toward action, with discipline around quality, evaluation and operational safety</li><li>Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions</li><li><b><br></b></li><li><b>Nice to have</b></li><li>Experience building AI agents or service automation workflows</li><li>Experience in hospitality, retail, vertical SaaS, or B2B software environments</li><li>Experience working across multiple product lines, business units or operational functions</li><li>Familiarity with support operations, CRM workflows, or Professional Services delivery models</li><li>Experience with analytics, reporting and operational performance measurement</li></ul><p><strong>Desired Candidate Profile</strong></p>A bachelor's degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline

<p> <strong>GREENPEACE MIDDLE EAST AND NORTH AFRICA</strong> </p> <p> <strong>TERMS OF REFERENCE</strong> </p> <p> <strong>Regional Impact and Contribution Assessment of Greenpeace MENA s Work Since 2019</strong> </p> <ul> <li> <strong>Focus countries:</strong> United Arab Emirates, Egypt, Morocco, Tunisia and Lebanon</li> <li> <strong>Consultancy assignment:</strong> Commissioning organisation Greenpeace Middle East and North Africa (Greenpeace MENA)</li> <li> <strong>Assignment period:</strong> [To be confirmed]</li> <li> <strong>Level of effort:</strong> [To be proposed by the consultant]</li> <li> <strong>Geographic scope:</strong> MENA region, with more focused analysis of the UAE, Egypt, Morocco, Tunisia and Lebanon</li> <li> <strong>Assessment period:</strong> 2019 to the date of commencement of the consultancy</li> <li> <strong>Reporting to:</strong> [Executive Director / designated project lead]</li> </ul> 1. Background and Rationale<br><p>Since 2019, Greenpeace MENA has sought to advance climate justice and accelerate a fair energy transition across the Middle East and North Africa. Its work has combined public campaigning, policy engagement, movement building, youth mobilisation, strategic communications, research, coalition-building and regional narrative change.</p> <p>Over the same period, the region has experienced important changes in climate policy, renewable energy deployment, public awareness, youth engagement and economic transition. These shifts have not resulted from the work of any single actor. They have been shaped by governments, civil society, social movements, researchers, communities, multilateral processes, market forces and geopolitical developments.</p> <p>Greenpeace MENA therefore wishes to commission an independent regional assessment that documents progress since 2019 and examines the organisation s contribution to that progress where credible evidence exists. The assessment should avoid simplistic or unsupported attribution. Instead, it should use a theory-of-contribution approach that distinguishes between changes directly influenced by Greenpeace MENA, changes to which Greenpeace MENA plausibly contributed alongside others, and wider contextual developments that are relevant to the organisation s mission but cannot reasonably be linked to its work.</p> <p>The assessment is intended to generate a credible evidence base for strategic learning, accountability, communications, fundraising and future programme design. It should also identify where progress has been limited, uneven or reversible, and where Greenpeace MENA may need to adapt its strategy to increase impact.</p> 2. Purpose of the Consultancy<br><p>The purpose of the consultancy is to assess and document the evolution of climate action, climate justice, renewable energy, economic transition and climate movement-building in the region since 2019, with particular focus on the UAE, Egypt, Morocco, Tunisia and Lebanon, and to analyse Greenpeace MENA s contribution to these changes wherever this can be credibly demonstrated.</p> <p>The consultancy should produce both a regional narrative and country-level evidence. It should capture formal policy change as well as shifts in public discourse, civil society capacity, youth leadership, coalition strength, political salience and the connection between climate issues and people s daily lives.</p> 3. Specific Objectives<br><ul> <li>Document major changes since 2019 in climate policy, renewable energy policy, implementation, investment and deployment across the five focus countries.</li> <li>Assess progress in climate justice policies, decisions, public debate and institutional practice, including equity, participation, adaptation, loss and damage, just transition and protection of affected communities.</li> <li>Analyse the evolution, reach, diversity and influence of the regional climate movement, with a particular focus on youth-led climate action and the leadership of young people from the region.</li> <li>Examine the extent to which climate issues have become more connected to people s daily concerns, including energy affordability, electricity access, air pollution, public health, livelihoods, food and water security, dignity, economic opportunity and social justice.</li> <li>Assess economic diversification and energy transition developments in the UAE, including progress, limitations and contradictions in moving away from fossil-fuel dependence and expanding renewable energy and other low-carbon sectors.</li> <li>Identify outcomes and changes to which Greenpeace MENA directly contributed or plausibly contributed, and clearly distinguish these from broader changes for which no contribution can be demonstrated.</li> <li>Generate lessons and recommendations to strengthen Greenpeace MENA s future strategy, country engagement, movement-building, policy influence, communications and impact measurement.</li> </ul> 4. Scope of Work<br>4.1 Geographic and temporal scope<br><p> <strong>Geographic scope:</strong> The assessment will cover the Middle East and North Africa region, with detailed analysis of the United Arab Emirates, Egypt, Morocco, Tunisia and Lebanon. Regional developments, institutions and networks should be included where they materially affect the five-country analysis.</p> <p> <strong>Assessment period:</strong> From January 2019 to the date of commencement of the consultancy. The consultant may reference earlier developments where needed to establish a baseline or explain the significance of later changes.</p> 4.2 Thematic scope<br><strong>Theme</strong> <strong>Indicative areas of inquiry</strong> <strong>Climate policy and governance</strong> National climate strategies; nationally determined contributions; long-term strategies; sectoral plans; climate laws and institutions; implementation mechanisms; climate diplomacy; accountability and transparency. <strong>Renewable energy and energy transition</strong> Renewable energy targets, regulation, investment, procurement, deployment, decentralised energy, energy access, grid reform, storage, efficiency, electrification and fossil-fuel phase-down or phase-out debates. <strong>Climate justice</strong> Equity, differentiated responsibilities, fair access to finance, adaptation, loss and damage, just transition, participation, rights, gender and intergenerational justice, community impacts and protection of vulnerable groups. <strong>Economic diversification in the UAE</strong> Changes in economic structure, public investment, policy direction, clean energy expansion, green industries, employment and innovation, alongside continuing fossil-fuel production,&nbsp;

<p>The overall scope is to ensure the efficient operation of the Engineering department supporting all other operating departments. This includes supplying services as required by the entire operation and maintaining equipment, building, and grounds in optimum condition. The job of Assistant Director of Engineering is executed satisfactorily when:</p><ul><li>Ensure preventive and corrective maintenance of the real estate.</li><li>Ensure the production and supply of energy at all times.</li><li>Coordinate and supervise contractors to ensure compliance with specifications and the hotel s procedures in regards to the guest contact.</li><li>Optimise maintenance costs.</li><li>Comply with all Kempinski company policies.</li><li>Additional responsibilities and tasks can be added at any time according to the needs of the business and of the hotel.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>NATIONALITY : Lebanese EDUCATION : Engineer in akk HVACR, architect or equivalent background EXPERIENCE: To fill the position the following is required: Very good knowledge of building equipment: heating, ventilation, plumbing, electricity, automatic operation Minimum 2 years experience in building technology Successful experience in a position of responsibility including management of staff Experience in the maintenance of buildings and facilities HVACR LANGUAGE: Local language excellent oral and written skills (as applicable) English excellent oral and written skills Additional language - beneficial COMPETENCIES: Include the skills the candidate must have to fill this position: Faculty of analysis, evaluation and decision making in the day-to-day business and in the case of emergency Very good organisation and work planning skills Very good leadership by leading, motivating and empowering multidisciplinary teams TECHNICAL COMPETENCIES: Software office (word, Excel, Access) Engineering Administration system INDIVIDUAL CHARACTERISTICS: To fill this position the candidate must identify with the Kempinski core values, in addition they should be especially: People Oriented Entrepreneurial Straightforward Good interpersonal skills including the capacity to listen to all team members Being sensitive to the presence of customers and constraint.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Hybrid / Flexible Position – Office &amp; Remote</b></p><p>We are looking for an <b>MEP Design Engineer / Drafter</b> to join our engineering team and contribute to the design and preparation of technical documentation for HVAC, plumbing and electrical installations.</p><p>The position offers a <b>flexible hybrid working arrangement</b>, combining office-based and remote work depending on project requirements and team coordination.</p><p>Responsibilities</p><ul><li>Prepare <b>MEP shop drawings</b> for HVAC, plumbing and electrical systems.</li><li>Develop and update technical drawings using <b>AutoCAD and Revit</b>.</li><li>Prepare detailed plans, sections, schematics and installation drawings.</li><li>Produce the necessary <b>engineering calculation notes</b> for HVAC and plumbing systems.</li><li>Prepare technical documentation for construction and execution phases.</li><li>Ensure drawings and calculations are accurate, coordinated and suitable for site execution.</li><li>Coordinate with engineers and other disciplines to ensure proper integration of MEP systems.</li><li>Review and incorporate technical comments and project revisions.</li><li>Work independently while maintaining effective communication and coordination with the engineering team.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Required Profile</p><ul><li><b>3–4 years of professional experience</b> in MEP design, engineering studies or technical drafting.</li><li>Experience in <b>HVAC and plumbing design</b>, with knowledge of electrical systems and drafting considered an advantage.</li><li>Strong proficiency in <b>AutoCAD and Revit</b> – required.</li><li>Experience working on <b>projects in France</b> and familiarity with French engineering practices and standards is preferred.</li><li><b>French language proficiency</b> is preferred.</li><li>Experience with <b>AutoFluid</b> is considered a strong advantage.</li><li>Good understanding of HVAC and plumbing systems and their implementation.</li><li>Ability to work independently, organize workload and meet deadlines.</li><li>Strong attention to detail and technical rigor.</li><li>Good communication and coordination skills.</li></ul><p>Working Conditions</p><ul><li><b>Hybrid / flexible working arrangement</b></li><li>Combination of <b>office-based and remote work</b></li><li>Full-time position</li><li>Flexible organization depending on project and team requirements</li><li>Collaboration with an engineering team working on MEP projects in France</li></ul><p><br></p></div>

<p><h4>About the company</h4> <p>IBC Group is an industrial solutions provider specializing in advanced metal coatings, component repair, and performance engineering. We partner with manufacturers to extend the life of critical equipment, improve performance, and solve challenges related to wear, corrosion, and durability. Our capabilities include a wide range of thermal spray and performance coating technologies, supported by metallurgical expertise to ensure solutions meet demanding specifications. From restoring worn components to enhancing new parts, our work helps customers reduce downtime and improve reliability across a variety of industries. IBC Group operates focused on leveraging advanced surface engineering solutions globally.</p> <p>IBC Group is an equal opportunity employer. Full-time employees qualify for additional benefits like medical, vision, and dental insurance, paid time off (i.e. vacation), and retirement savings options.</p> <h4>Essential duties and responsibilities</h4> <p><strong>Strategic execution:</strong> Communicate and execute company strategic goals and objectives.</p> <p><strong>Technical & operational leadership:</strong> Provide technical and operational leadership across engineering, production, quality, and business development. Act as the primary technical authority for the company's thermal spray applications and component dimensional restoration, ensuring all work is technically sound, properly planned, and executed efficiently in accordance with company standards and customer requirements.</p> <p><strong>Project & group coordination:</strong> Coordinate and direct projects, plan technical activities, and ensure successful execution of work and programs. Engage with other IBC Group technical and support staff as needed.</p> <p><strong>Commercial & RFQ evaluation:</strong> Review incoming work including RFQs, contract requirements, and customer requests to ensure proper technical fit, scope, accurate industrial job costing/pricing for variable repair geometries, and scheduling before acceptance. Manage customer portals and interact directly with customers as needed.</p> <p><strong>Relationship management:</strong> Interact and build ongoing relationships with company, IBC Group customers, sponsors, and community partners.</p> <p><strong>Production alignment:</strong> Participate in production and planning meetings to communicate priorities, schedules, and expectations, ensuring alignment between technical requirements and daily operations.</p> <p><strong>Financial accountability:</strong> Monitor financial performance including P&L, job profitability, backlog, and pipeline to ensure the business operates in a highly profitable, sustainable, and commercially independent manner.</p> <p><strong>Budgeting & planning:</strong> Assist in preparing budgets, forecasts, bids, contracts, and proposals, and make recommendations regarding staffing, equipment, and operational needs based on business conditions.</p> <p><strong>CapEx ownership:</strong> Recommend and support procurement of capital equipment and technical resources, subject to company approval authority, budget limits, and applicable purchasing policies.</p> <p><strong>Technical & methodological oversight:</strong> Review technical work, reports, and methodologies to ensure accuracy, compliance, and sound engineering practices. Provide technical guidance on production, engineering, and R&D activities as required.</p> <p><strong>Knowledge codification & SOPs:</strong> Lead the extraction and transition of historical technical knowledge into codified manufacturing routes, job routers, and robust standard operating procedures (SOPs) to ensure repeatable shop-floor quality.</p> <p><strong>Subsurface & finishing operations:</strong> Oversee associated mechanical manufacturing and finishing operations critical to component repair, including pre-machining inspection, chemical stripping, masking, grit blasting, and precision post-coat grinding/machining to tight dimensional blueprint tolerances.</p> <p><strong>Team development:</strong> Assist in hiring, training, mentoring, timecard oversight, performance reviews, and corrective actions of team members, helping to ensure personnel follow procedures, policies, and performance expectations.</p> <p><strong>Executive reporting:</strong> Meet regularly with executive management to review performance, current contracts, risks, and future opportunities.</p> <p><strong>Administration & recordkeeping:</strong> Perform administrative duties as required, including approving expenditures, reviewing reports, monitoring project activity, and ensuring proper documentation and recordkeeping.</p> <p><strong>Quality & compliance audits:</strong> Follow and enforce all applicable ISO9001, AS9100, internal quality policies, OSHA safety regulations, and company safety policies. Ensure the facility and production team operate in constant compliance and are prepared for customer-specific or industry-specific technical audits.</p> <p><strong>Leadership support:</strong> Complete additional tasks or projects as assigned by company leadership.</p> <h4>Job requirements</h4> <p><strong>Citizenship status:</strong> Must be legally authorized to work in the United States without employer sponsorship. Due to potential access to export-controlled technical data, candidate must qualify as a “U.S. person” as defined under applicable export control laws, including ITAR/EAR, or otherwise be authorized to access such data under applicable law.</p> <p><strong>Education:</strong> Must have a bachelor's degree in materials science, metallurgy, mechanical engineering, mechanical engineering technology, or industrial engineering.</p> <p><strong>Thermal spray expertise:</strong> Minimum 5–10 years of hands-on or supervisory experience specifically within thermal spray coating technologies (including HVOF, plasma spray, flame spray, and arc spray) and industrial component salvage/repair operations is highly desirable.</p> <p><strong>Operations experience:</strong> Must have 5–10 years of relevant operations management experience, preferably overseeing an autonomous business unit or standalone profit center. Experience with thermal spray and manual machining in a production environment is a plus.</p> <p><strong>Project management:</strong> Must have a minimum of 5–10 years of direct project management experience.</p> <p><strong>Leadership & communication:</strong> Must have demonstrated leadership experience and excellent communication skills.</p> <p><strong>Analytical capabilities:</strong> Must be detail-oriented to understand complex systems, as well as capable of utilizing advanced mathematics for process and coating parameter development.</p> <p><strong>CAD competency:</strong> Solidworks or equivalent 3-D modeling software experience is required.</p> <p><strong>Software proficiency:</strong> Must have a strong knowledge of the Microsoft Suite of products (Office, Access, Word, Excel, Outlook, etc.).</p> <p><strong>Reporting:</strong> Must have the proven ability to write professional-level, highly technical reports.</p> <p><strong>Advanced work:</strong> Previous experience in industrial R&D and/or government contract work is a plus.</p> <p><strong>Machining & metrology knowledge:</strong> Demonstrated familiarity with precision conventional/CNC machining, industrial metrology instruments, and cylindrical/surface grinding techniques required to finish hard thermal spray surfaces.</p> <p><strong>Regulated data handling:</strong> Familiarity with ITAR/EAR compliance protocols and the secure management of controlled technical data packages.</p> <p><strong>Pre-employment screening:</strong> All employment at IBC is conditional upon successful results from background and drug testing.</p></p><p></p>

<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>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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI 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> 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.<br> 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>

<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>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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Soft Flow is seeking a motivated and results-driven Sales Development Representative (SDR) to join our growing sales team. The ideal candidate will be responsible for identifying new business opportunities, conducting outbound prospecting activities, researching target markets, managing customer interactions through CRM systems, and supporting the sales team with accurate reporting and lead qualification.</p><p>This role is ideal for a professional with 2 4 years of B2B sales experience who enjoys engaging with clients, generating leads, and contributing directly to business growth.</p><p>Key Responsibilities</p><p>Lead Generation &amp; Prospecting</p><ul><li>Conduct outbound cold calls, emails, and follow-up activities to generate qualified sales opportunities.</li><li>Research target companies, industries, and key decision-makers.</li><li>Build and maintain prospect databases.</li><li>Qualify leads and schedule meetings for the sales team.</li><li>Follow up with prospects from marketing campaigns, events, webinars, and referrals.</li></ul><p>Market &amp; Sales Research</p><ul><li>Perform market research to identify new business opportunities and industry trends.</li><li>Analyze competitors, market developments, and customer needs.</li><li>Develop and maintain target account lists for strategic sales initiatives.</li><li>Gather and organize intelligence on potential clients and key stakeholders.</li></ul><p>CRM Management</p><ul><li>Maintain accurate customer and prospect records in the CRM system.</li><li>Track all sales activities, communications, and opportunities.</li><li>Update lead status and ensure data integrity within the CRM.</li><li>Support sales pipeline management and forecasting activities.</li></ul><p>Reporting &amp; Administration</p><ul><li>Prepare weekly and monthly sales activity reports.</li><li>Analyze lead generation performance and conversion metrics.</li><li>Generate reports on prospecting activities, meetings, and sales opportunities.</li><li>Support management with sales research findings and business insights.</li></ul><p>Customer &amp; Call Management</p><ul><li>Handle incoming inquiries and direct them to the appropriate team members.</li><li>Maintain a professional and customer-focused approach during all interactions.</li><li>Assist in coordinating meetings and follow-up communications.</li></ul><p>Skills &amp; Competencies</p><ul><li>Strong communication and interpersonal skills.</li><li>Professional telephone etiquette.</li><li>Research and analytical capabilities.</li><li>Prospecting and lead qualification skills.</li><li>Excellent organizational and time management skills.</li><li>Ability to work independently and as part of a team.</li><li>Results-oriented and proactive mindset.</li><li>Strong attention to detail and reporting accuracy.</li></ul><p>What We Offer</p><ul><li>Competitive salary and performance incentives.</li><li>Career growth and development opportunities.</li><li>Exposure to leading technology solutions and global vendors.</li><li>Collaborative and professional work environment.</li><li>Ongoing training and sales enablement programs.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><u>Required</u></p><p>Bachelor's degree in Business, Marketing, Management, or a related field.</p><p>2 4 years of experience in B2B sales, lead generation, business development, or inside sales.</p><p>Experience conducting cold calls and outbound prospecting.</p><p>Strong knowledge of CRM applications (Dynamics 365, or similar).</p><p>Experience with market research and sales research activities.</p><p>Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).</p><p>Excellent verbal and written communication skills in English and Arabic.</p><p><u>Preferred</u></p><p>Experience in the IT, software, cloud, cybersecurity, or technology sector.</p><p>Familiarity with LinkedIn Sales Navigator and lead generation tools.</p><p>Understanding of sales pipelines and sales performance metrics.</p><p></p></section>

We are looking for a creative, detail-oriented Content Creator who can produce high-quality visual content for brands across different industries. The ideal candidate is passionate about storytelling, social media trends, photography, and video production, with the ability to transform ideas into engaging content that delivers results. <br>Key Responsibilities <br>Plan, create, and execute content for Instagram, TikTok, Facebook, and other social media platforms. <br>Capture high-quality photos and videos for products, services, and lifestyle campaigns. <br>Edit videos and photos using professional editing software. <br>Develop creative concepts, storyboards, and content ideas. <br>Stay updated with social media trends, viral formats, and platform best practices. <br>Collaborate with the creative team to ensure content aligns with each brand's identity. <br>Organize and manage content files and project timelines. <br>Attend client shoots and produce content on location when required

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title: Sales Development Representative (GCC Market) Company: Division50 Location: Remote Position Type: Full-Time About Division50: At Division50, we specialize in connecting top talent with growing businesses across industries.<br> As we continue to expand our reach in the GCC market, we are looking for a highly motivated and experienced Sales Development Representative (SDR) to join our team.<br> This role is critical to driving new business opportunities and setting the stage for successful client partnerships.<br> Role Overview: The ideal candidate will have a strong background in appointment setting, specifically within the GCC market, and demonstrate fluency in both Arabic and English.<br> We’re seeking someone who is confident, proactive, and skilled at opening conversations with decision-makers.<br> Key Responsibilities: • Identify, prospect, and engage potential clients across GCC through cold calling, email outreach, and LinkedIn.<br> • Qualify leads, schedule appointments, and hand off high-quality opportunities to the sales team.<br> • Research and analyze target industries and companies to develop tailored outreach strategies.<br> • Build strong relationships with prospects through a consultative and confident approach.<br> • Manage and maintain accurate records of activities and pipeline progress within CRM systems.<br> • Collaborate with internal teams to refine messaging and improve lead generation efforts.<br> Preferred Qualifications: • Experience in SaaS, B2B services.<br> • Familiarity with GCC business culture and sales cycles.<br> • Previous experience working remotely with international teams.<br> • $500 Base + $300 Commission .<br> • fully remote work environment.<br> • Opportunity for growth within an international and fast-paced organization.<br> • Ongoing professional development and support.<br> Proven experience in appointment setting and outbound sales development, with a focus on the GCC market.<br> Fluency in Arabic and English is required.<br> Additional GCC languages are a plus.<br> Excellent communication and interpersonal skills; confident in initiating conversations with senior-level executives.<br> Strong objection-handling skills and ability to maintain composure under pressure.<br> Self-driven, highly organized, and able to work independently in a remote environment.<br> Proficiency with CRM systems (e.<br>g., Salesforce, HubSpot) and sales prospecting tools.<br></span> </div>

<p>Under the supervision of UNICEF, the Biomedical Engineer Consultant will provide technical expertise to support the planning, procurement, installation, commissioning, and lifecycle management of medical equipment and related supplies for primary healthcare centres (PHCCs), hospitals, and other health facilities supported by UNICEF. The consultant will undertake equipment and infrastructure assessments, support the identification and selection of appropriate technologies, develop technical specifications and tender documentation, and provide technical advice throughout procurement processes, including bid evaluation and contract implementation.</p><p><br></p><p>The consultant will also assess facility readiness for equipment installation, recommend necessary infrastructure modifications, oversee installation and commissioning activities, verify compliance with applicable standards, and support healthcare personnel capacity building on equipment operation and maintenance. The assignment will be undertaken on an as-needed basis, with the scope and duration of each engagement determined by the specific requirements of individual projects and procurement activities.</p><p><br></p><p>To qualify as an advocate for every child you will have…&nbsp;</p><p><br></p><p>Minimum requirements:</p><p><br></p><p>Education: Advanced university degree in Biomedical Engineering, Clinical Engineering, Medical Engineering, or a related field from a recognized institution. Additional certifications or specialized training in medical equipment management, health facility planning, procurement, or healthcare technology assessment will be considered an asset.&nbsp;</p><p>Work Experience:&nbsp;</p><p>A minimum of 10 years of progressively responsible professional experience in biomedical engineering, including medical equipment planning, specification development, procurement support, installation, commissioning, maintenance, and lifecycle management in healthcare settings is required.</p><p>Demonstrated experience supporting procurement processes, technical evaluations, and infrastructure assessments for health facilities is required.</p><p>Previous experience working with UNICEF, UN agencies, international organizations, or development partners will be considered a strong asset.</p><p>Strong knowledge of biomedical equipment standards, healthcare technology management, and procurement best practices.</p><p>Demonstrated experience working in both primary healthcare (PHC) and hospital settings especially NICUs is highly desirable.</p><p>Experience supporting health facility rehabilitation, infrastructure assessments, and capacity-building initiatives is an asset.</p><p>Language Requirements: Excellent analytical, report-writing, and communication skills in English are required, with knowledge of Arabic considered an advantage.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p>We are seeking a Civil/Structural Design Engineer to join our team, specializing in the design and analysis of steel structures systems. The ideal candidate will be responsible for performing structural calculations, developing engineering designs, and ensuring compliance with industry standards and project requirements.</p><p>This is a remote position.</p><p>Key Responsibilities:</p><ul><li>Design steel structures, including equipment platforms, pipe rafts, tensile membrane support frames, mezzanines, and canopies.</li><li>Prepare and review structural calculations, reports, and technical documentation to support project deliverables.</li><li>Develop Excel spreadsheets and/or Mathcad worksheets for the analysis and design of various structural components, ensuring strict adherence to industry codes (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Perform hand calculations for structural analysis and design, including but not limited to seismic design, wind loading, and other relevant load cases, ensuring compliance with applicable design codes and standards.</li><li>Develop and review engineering drawings and specifications in AutoCAD, ensuring accuracy, clarity, and constructability.</li><li>Conduct load analysis, wind, and seismic design calculations in accordance with industry standards (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Work closely with CAD drafters to ensure structural drawings align with design calculations and project specifications.</li><li>Stay up to date with advancements in structural engineering, industry trends, and software applications to improve design efficiency and accuracy.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Read all required qualifications and apply only if qualified.</p><p>Application Window: August 2026 November 2026</p><p>---HANDS ON STEEL DESIGN EXPERIENCE IS REQUIRED---</p><p>---MUST BE ABLE TO RUN MANUAL HAND CALCULATIONS---</p><p>We will be accepting applications August 2026 through November 2026.</p><p>Qualifications &amp; Skills:</p><ul><li>Strong understanding of structural analysis methods, load paths, and material behavior.</li><li>Familiarity with national codes and standards (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Ability to perform detailed structural calculations and generate engineering reports.</li><li>Steel Design experience is required.</li><li>Excellent problem-solving skills and the ability to handle multiple projects simultaneously.</li><li>Strong communication and teamwork skills</li></ul><p>Education and Experience:</p><ul><li>Bachelor s or Master s degree in Civil Engineering.</li><li>1-2 years of hands-on steel design experience.</li></ul>

<p><br></p><p>What you ll be doing: Design, train, and optimize AI models specifically for real-time content summarization and recommendation. Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions. Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources. Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance. Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment. Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.</p><p>Preferred Qualifications: Understanding of branding, tone, and the user experience (UX) implications in AI-generated content. Experience working with headless CMS (Content Management Systems) and structured content datasets. Knowledge of ethical AI principles and prompt engineering best practices.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Who we re looking for: We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.</p><p>What you ll need: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. 5 7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP). Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face. Experience with LangChain and LangGraph. Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar. Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies. Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy. Familiarity with deploying AI models via microservices or APIs.</p>

<p>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. We're looking for a DevOps engineer with a strong database background. The right candidate combines solid AWS infrastructure experience with a DBA mindset someone who is proactive about performance, cost, and reliability without needing to be prompted. This is a hands-on role with real ownership across multiple deployment targets (Managed Services, SaaS, on-prem). Priority for AI enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p><h3>Key Responsibilities:</h3><ul><li>Manage and optimise database infrastructure across AWS (ECS/EC2, EKS)</li><li>Drive query performance tuning, indexing, connection pooling, and replication management</li><li>Own infrastructure-as-code using TypeScript CDK; rare manual console changes</li><li>Identify and execute cost optimisation opportunities across RDS/Aurora, storage, and compute</li><li>Build automation tooling in Bash and TypeScript for backup validation, failover testing, and capacity planning</li><li>Collaborate with engineering teams on schema design and data access patterns ahead of implementation</li><li>Maintain CI/CD pipelines for infrastructure changes across all deployment targets</li></ul><h3>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</h3><ul><li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li><li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li><li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li><li>Proficient in Bash scripting</li><li>Agentic AI workflows</li></ul><h3>TECH STACK</h3><ul><li>PostgreSQL</li><li>SQL Server</li><li>AWS RDS/Aurora</li><li>ECS/EC2</li><li>EKS</li><li>TypeScript CDK</li><li>Bash</li><li>GitLab, Pipelines</li><li>AI-assisted tooling</li></ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</li> <li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li> <li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li> <li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li> <li>Proficient in Bash scripting</li> <li>Agentic AI workflows</li> </ul> <p> </p> <p>TECH STACK</p> <ul> <li>PostgreSQL SQL Server AWS RDS/Aurora ECS/EC2 EKS TypeScript CDK Bash GitLab, Pipelines AI-assisted tooling</li> </ul>