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AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

UAE Nationals Only | Fresh Graduates Encouraged to Apply | Full-Time RoleA leading hospital in the UAE is expanding its Artificial Intelligence and Digital Innovation team and is looking for multiple Junior AI Engineers to join its technology initiatives.We are seeking UAE Nationals and fresh graduates who are passionate about Artificial Intelligence, Machine Learning, and building innovative solutions in the healthcare sector.Key Responsibilities Support the development and implementation of AI/ML solutions. Assist with data analysis, model development, testing, and optimization. Work with technology teams to deliver AI-driven applications and automation solutions. Research and apply emerging AI technologies to solve real-world challenges. Document technical solutions and project outcomes.Requirements UAE Nationals only. Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields. Fresh graduates are encouraged to apply. Basic knowledge of AI/ML concepts and programming (Python preferred). Familiarity with AI frameworks, data analytics, or software development is an advantage. Strong analytical, problem-solving, and teamwork skills.BenefitsFull-time opportunity with a leading UAE healthcare organization.Exposure to real-world AI and digital transformation projects.Opportunity to grow alongside experienced technology professionals.Multiple positions available.If you are a UAE National graduate looking to begin your career in Artificial Intelligence and contribute to innovative healthcare solutions, we encourage you to apply.

MLOps Engineer / Data Architect – AI & Data Platforms-Qatar & UAE Role OverviewCommand Post is seeking an experienced MLOps Engineer / Data Architect to support the delivery of AI, data and assurance capabilities within a major banking environment.We are open to candidates from either of two backgrounds:·      MLOps / AI Platform Engineering – focused on operationalising ML, GenAI and AI workloads, CI/CD, model lifecycle, deployment and monitoring.·      Data Architecture / AI Data – focused on enterprise data architecture, data domains, lineage, integration, metadata and trusted data foundations for AI.Candidates do not need to be equally strong in both areas but should understand how AI, data, governance, security and compliance come together in a regulated environment. Key ResponsibilitiesDesign and implement MLOps processes covering model development, validation, deployment, monitoring, revalidation and retirement.Establish CI/CD, model versioning, experiment tracking and controlled promotion across DEV, TEST, UAT and PROD.Integrate AI/ML platforms such as MLflow, Databricks, Azure ML, SageMaker, Vertex AI or equivalent.Design enterprise data architectures supporting AI, analytics and business applications.Map data lineage across source systems, data platforms, datasets, models and production AI services.Define relationships between data assets, business departments, business processes and data domains.Support data quality, metadata, classification, privacy, retention, residency and access requirements.Support GenAI and agentic AI architectures including RAG, vector databases, model endpoints, prompts, tools and autonomous workflows.Contribute to AI assurance across governance, data, model, security, operations and regulatory compliance.Work closely with Data Science, Data Governance, Enterprise Architecture, Cybersecurity, Risk, Compliance and business teams. Candidate ProfileMLOps / AI Platform ProfileStrong experience in areas such as:MLOps or ML EngineeringProduction model deploymentCI/CD and automationModel registries and experiment trackingKubernetes / OpenShift / DockerCloud AI platformsModel monitoring and observabilityData / AI Architect ProfileStrong experience in areas such as:Enterprise or solution data architectureData lakes, warehouses or lakehousesData modelling and integrationData domains and ownershipData lineage and metadataData governance and data qualityAI and analytics data architecturesTechnical ExperienceExperience with some of the following would be advantageous:MLOps / AI: MLflow, Databricks, Azure ML, SageMaker, Vertex AI, Kubeflow, GitHub/GitLab, Jenkins, Python, Kubernetes.Data: SQL/NoSQL, ETL/ELT, APIs, data catalogues, lineage, data quality, feature stores, vector databases and metadata platforms.AI / GenAI: LLMs, RAG, embeddings, AI agents, model evaluation, explainability, fairness, drift and AI security.Banking & Governance ExperienceExperience in banking, financial services or another regulated environment is strongly preferred.Knowledge of any of the following would be advantageous:Model Risk ManagementData GovernancePrivacy and data protectionAI governance / Responsible AIISO/IEC 42001ISO/IEC 27001NIST AI RMFBanking AI or model-risk requirementsRequired Experience5+ years' relevant experience across MLOps, ML Engineering, Data Engineering, Data Architecture or related disciplines.Experience working in complex enterprise environments.Strong understanding of system and data integration.Ability to work across technical, architecture, governance and business teams.Strong design and documentation skills. What We Are Looking ForWe are looking for candidates who understand how AI and data move from concept into controlled enterprise production. The ideal candidate will operate across:AI + Data + Architecture + Engineering + Governance + Security + Riskand help customers accelerate the safe adoption of ML, GenAI and agentic AI within regulated environments.

We Are Hiring | AI Specialist (AI, Automation & Digital Transformation)Work Location: Dubai Investment Park (DIP) 2, Dubai, UAEWe are looking for a Full Stack Developer with strong AI, automation, functional, and technical knowledge to build and support our in-house software and digital transformation initiatives.The role will focus on understanding business processes, identifying manual work, developing software solutions, integrating departmental workflows, implementing AI, and continuously improving business operations.Key ResponsibilitiesDevelop and maintain in-house business applications.Understand departmental workflows and convert manual and Excel-based processes into software automation.Work with Joinery, MEP, Manufacturing, Projects, Procurement, Finance, HR, and other departments to identify automation opportunities.Develop AI-powered solutions for production planning, scheduling, reporting, estimation, material planning, quality analysis, and workflow optimization.Build dashboards, reports, and management information systems to support decision-making.Develop an in-house AI chatbot to help employees access information, interact with internal systems, and support business processes.Develop an internal task and work management system similar to Jira to assign, track, prioritize, monitor, and report departmental tasks and projects.Develop AI-assisted workflows for SOPs, documentation, reports, and operational records.Design and develop solutions with a clean, well-structured, and scalable architecture, always considering scalability, performance, efficiency, maintainability, and future business growth. Work directly with Department Heads, stakeholders, and the Assistant General Manager to understand business requirements.Implement AI, automation, APIs, and emerging technologies to improve business processes.Support employees in adopting AI tools and provide AI training and guidance where required.Continuously evaluate emerging technologies and implement solutions that provide measurable business value.Take ownership of development from requirement gathering, design, development, testing, deployment, and support.Server-related activities will be handled by the Headquarters IT & Intelligence Team. Ensure fast and efficient development and implementation, without compromising clean architecture, scalability, maintainability, or overall solution quality.Mandatory Technical Skills.NET / C#PythonSQLReact / Next.jsREST APIs & API IntegrationAI / LLM / AI API IntegrationRequirementsMinimum 2+ years of Full Stack Software Development experience.Strong Functional and Technical knowledge.Ability to understand business processes and independently develop practical software solutions.Strong interest in AI, automation, and emerging technologies.Ability to work with changing requirements and develop flexible solutions.Strong analytical and problem-solving skills.Ability to work independently while collaborating with the Headquarters IT & Intelligence Team.Willingness to learn, experiment, and introduce new technology ideas to the organization.This is an opportunity for someone who wants to go beyond traditional software development and contribute to building an integrated in-house technology ecosystem connecting business processes, people, tasks, data, and AI across the organization.

About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

AI Software EngineerLocation: Hybrid(UAE)Type: Full-TimeAbout the RoleWe are working with an innovative technology company looking for an AI Software Engineer to join a high-performing engineering team building next-generation AI-powered applications.This is an opportunity to work on complex LLM-based systems, designing intelligent workflows and developing production-ready AI solutions that solve challenging real-world problems. You'll collaborate with software engineers, product teams and domain experts to build scalable, reliable AI capabilities while staying at the forefront of emerging technologies.ResponsibilitiesDesign, build and enhance production-grade LLM-powered applications.Develop prompt architectures and agentic AI workflows.Build evaluation frameworks and define meaningful metrics to measure model performance and reliability.Design and implement scalable software solutions using Python and modern engineering best practices.Integrate AI capabilities into existing platforms, services and backend systems.Prototype, test and productionise new AI features and model interactions.Improve quality, safety and observability through monitoring, testing and guardrails.Collaborate closely with cross-functional teams to deliver high-quality technical solutions.Contribute to architecture discussions and share knowledge with the wider engineering team.Required Skills & ExperienceCommercial experience building complex LLM-based applications.Strong prompt engineering skills with experience designing agentic AI workflows.Experience creating evaluation frameworks, benchmarks and custom performance metrics for AI systems.Strong software engineering fundamentals with excellent Python development experience.Experience building scalable production systems.Familiarity with cloud platforms, CI/CD pipelines and modern software engineering practices.Passion for keeping up to date with the latest AI research and emerging technologies.Excellent problem-solving and communication skills.Comfortable working in a fast-paced, collaborative engineering environment.Desirable ExperienceExperience working on production AI platforms.Understanding of model monitoring, evaluation and observability.Knowledge of software architecture and distributed systems.Experience collaborating across engineering, product and technical teams.What's on OfferFully remote working across the UAE.Competitive salary and benefits package.Flexible working hours.Annual learning and development budget.Home office equipment allowance.Opportunity to work on cutting-edge AI technology.Collaborative, high-performing engineering culture.Long-term career growth within an innovative technology business.