Your AI career in the UAE starts here

Eurisko is looking for AI Engineers and Data Scientists with hands-on experience in Microsoft Azure, Kubernetes, and Databricks for opportunities in Dubai.We’re seeking professionals who can turn business challenges into practical AI solutions—from preparing data and developing models to deploying reliable applications in production.AI Engineers - Key ResponsibilitiesDesign and develop AI applications, including generative AI solutions, intelligent assistants, and retrieval-augmented generation (RAG) systems.Build APIs and services that integrate AI models into enterprise applications.Deploy and manage containerized AI workloads on Azure using Docker and Kubernetes.Use Databricks to support data processing, experimentation, and machine learning workflows.Improve solution quality, reliability, response times, and deployment processes through evaluation, monitoring, and automation.Data Scientists - Key ResponsibilitiesExplore and analyze data to identify patterns, generate insights, and address business needs.Develop, validate, and refine predictive models using machine learning and statistical methods.Use Databricks for data preparation, feature engineering, experimentation, and model development.Define meaningful evaluation metrics and communicate findings clearly to technical and business stakeholders.Collaborate with engineering teams to deploy models and monitor their performance in production.Required Skills & ExperienceMicrosoft Azure: Practical experience working with cloud services for AI, machine learning, and data workloads.Databricks: Hands-on experience with data processing and machine learning workflows, including Spark or PySpark.Kubernetes: Experience working with containerized applications or machine learning workloads, alongside Docker.Python and SQL: Strong programming and data manipulation skills.Experience with relevant machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.Understanding of model evaluation, data quality, version control, and reproducible development practices.Strong problem-solving skills and the ability to collaborate across engineering, data, and business teams.Additional AdvantagesExperience with MLflow, MLOps, CI/CD, and model monitoring.Experience with LLMs, prompt evaluation, vector databases, and RAG.Familiarity with secure enterprise environments and data governance.Relevant Azure or Databricks certifications.

Job title: Machine Learning Engineer 1Location: Dubai, UAEAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a (add title) who can help us move even faster.noon’s mission: Every door, every day.What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. As a Machine Learning Engineer (MLE1), Ads, you will be a core individual contributor responsible for the hands-on design, development, and deployment of production-grade Machine Learning models across our Ads division. You will be responsible for delivering high-impact models and deployments that power critical functions like ranking, bidding, and click-fraud detection.This role is deeply technical; you will partner with Product and Engineering teams across noon Ads to turn complex data into competitive advantagesDeeply engage in the technical work: building, training, and deploying production-grade models across our domainsContribute to solving "hard" problems involving relevance, ranking, bidding optimization, and fraud detectionPartner with the broader engineering team to implement optimal deployment strategies for heavy ML workloadsAdhere to and contribute to the standardization of ML Ops and best practices within the teamWhat you'll need:Experience: hands-on experience or relevant internships in Machine Learning or data science is preferredFoundational Knowledge: Strong academic or practical grounding in core machine learning concepts, statistics, and data structuresCoding & Frameworks: Proficiency in Python and familiarity with standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) and SQLGrowth & Collaboration: Eagerness to learn from senior engineers, collaborate across product and engineering teams, and rapidly ramp up on MLOps best practicesTech Stack: Basic exposure to cloud platforms (like GCP) and data processing pipelines.

Job Summary:We are seeking an experienced Senior AI Architect with strong hands-on expertise in artificial intelligence, machine learning, solution architecture, and enterprise AI integration. The role involves designing, developing, and deploying scalable AI solutions integrated with enterprise platforms, data lakes, APIs, and business applications. The ideal candidate should have experience with AI frameworks and tools such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs, along with cloud technologies, data engineering, and enterprise system integration.Key Responsibilities:Design, develop, and deploy scalable AI and machine learning solutions aligned with business requirements and enterprise architecture standards.Build and implement AI-powered applications using frameworks and platforms such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs.Develop and integrate AI solutions with enterprise platforms such as Salesforce CRM, data lakes, content management systems (CMS), APIs, and legacy applications.Design and implement AI solution architectures, ensuring scalability, performance, reliability, and maintainability.Apply machine learning algorithms, deep learning techniques, natural language processing (NLP), and other AI methodologies to solve complex business problems.Develop and maintain data pipelines, ETL workflows, and data processing solutions to support AI and machine learning applications.Integrate AI systems with enterprise applications and legacy platforms using RESTful APIs, middleware, and other integration technologies.Work with cloud infrastructure and services, particularly Microsoft Azure, to develop, deploy, and manage AI solutions.Implement containerized AI applications using Docker and Kubernetes, following DevOps and deployment best practices.Establish and maintain architecture governance, coding standards, code quality, and technical best practices across AI development initiatives.Ensure data security, privacy, compliance, and responsible AI practices throughout the AI solution lifecycle.Collaborate with data scientists, data engineers, software developers, enterprise architects, and business stakeholders to deliver end-to-end AI solutions.Evaluate emerging AI technologies, frameworks, and tools to identify opportunities for innovation and improve solution effectiveness.Troubleshoot AI application, data pipeline, integration, and deployment issues to ensure reliable production operations.Role Requirements and Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.12–20 years of relevant experience in solution engineering, or solution architecture.6–8 years of relevant experience in AI, machine learning.Proven experience designing, developing, and deploying AI and machine learning solutions in enterprise environments.Strong programming skills in Python, Java, C++, or similar languages, with Python preferred for AI development.Hands-on experience with AI frameworks and platforms such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs.Strong understanding of machine learning algorithms, deep learning, data processing, and AI application development.Experience designing AI solutions integrated with enterprise platforms such as Salesforce CRM, data lakes, CMS platforms, and APIs.Hands-on experience with cloud platforms and services, particularly Microsoft Azure.Familiarity with data pipeline tools, ETL processes, data engineering concepts, and data lakehouse platforms.Experience with RESTful APIs, middleware, enterprise application integration, and legacy system integration.Working knowledge of Docker, Kubernetes, containerization, and DevOps practices.Strong understanding of data architecture, data science principles, and security and privacy considerations in AI systems.Ability to drive architecture governance, code quality, technical standards, and scalable solution design.Strong analytical, troubleshooting, problem-solving, and communication skills.Preferred Qualifications:Experience with Microsoft Fabric and data lakehouse architectures.Experience implementing advanced AI techniques, including reinforcement learning, natural language processing (NLP), and computer vision.Knowledge of Generative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI application development.Familiarity with AI ethics, responsible AI practices, bias mitigation, and model governance.Experience with cloud-based AI services, enterprise data platforms, and AI deployment automation.Knowledge of CI/CD pipelines, infrastructure automation, and monitoring of AI applications in production.Experience working in Agile/Scrum environments and collaborating across cross-functional teams.Strong analytical thinking and problem-solving skills, with the ability to translate complex business problems into effective AI solutions.Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.Leadership capabilities and the ability to guide technical decisions and collaborate effectively with cross-functional teams.Detail-oriented, with a strong focus on delivering secure, high-quality, scalable, and maintainable solutions.Innovative, proactive, and self-motivated, with a willingness to explore emerging AI technologies and drive continuous improvement.Ability to work independently and collaboratively in a dynamic, fast-paced environment with changing business and technical requirements.Why Join Us:Opportunities to work on transformative AI and Generative AI projects with leading global organizations.Continuous investment in learning, upskilling, and professional development.Collaborative work environment with experienced technology professionals.Competitive compensation and comprehensive employee benefits.A culture that encourages innovation, ownership, and career growth.

Company Description Cloud Softway is an AWS Advanced Partner founded in 2023, specializing in AWS-powered cloud-native solutions for startups and high-growth technology companies. The organization focuses on DevOps automation, artificial intelligence, cloud migrations, and 24/7 managed services to help clients accelerate time-to-market. By optimizing cloud performance and costs, Cloud Softway enables customers to scale efficiently and reliably. Team members work with modern AWS technologies and collaborate with innovative companies across diverse sectors.Role Description The Head of AI is a full-time, hybrid role based in Dubai, United Arab Emirates. Some remote work is possible, but this is not a remote position: the role requires regular on-site work at customer premises across the UAE, including working directly alongside client teams during key phases of the program. You will own CloudSoftway’s AI strategy end to end, from setting the technical roadmap to personally leading the design, fine-tuning, and deployment of production AI systems on AWS. This is a hands-on role. You will be expected to review architectures and code, solve hard model and memory problems yourself when needed, and set the engineering standard for the data scientists and ML engineers you lead. You will work closely with our cloud architecture and engineering teams to turn Generative AI into reliable, secure, cost-efficient solutions for customers, and you will be the senior technical voice in front of client stakeholders. You will also define responsible and secure AI practices, keep the team ahead of a fast-moving field, and represent CloudSoftway’s AI expertise publicly.What we require (non-negotiable)You have personally developed AI systems and shipped them to production. Not supervised it, not read about it: done itDeep Python and hands-on experience with PyTorch, Hugging Face (Transformers, PEFT, TRL) or equivalent5+ years in ML/AI engineering, with at least 2 years working directly on LLMs or Generative AIProven technical leadership: you have hired, mentored and set the engineering bar for othersStrong advantagesExperience with data privacy and sovereignty requirements in regulated environmentsPublished work, open-source contributions, or public repos showing your LLM workExperience delivering in the UAE or GCC

Head of Machine LearningBanking & InvestmentsOn-site in the UAEPermanent positionWe are looking for a Head of Machine Learning for a financial services giant in the UAE.ResponsibilityLead the architecture, development, and deployment of GenAI, Agentic AI workflows, and advanced ML modelsLink state-of-the-art AI research and production-grade engineeringSteer the ML vision and strategyExperience needed:Proven banking experience5+ years in leadership roles across Machine Learning, Data Science of Software EngineeringStrong background in hands on ML rolesDeep understanding of embedding AI microservices into high traffic web and mobile appsHands-on experience with modern cloud ecosystemsProven experience designing and deploying GenAI architecturesAwareness of responsible AIMLOPS & GenAIOps production deploymentManagementExperience leading teams of 40+ (IC's & Managers)Scale the ML functionEducation: Must have at least a Bachelors to applyPackage:Tax free salaryTax free bonusTax free relocation cash allowanceEducation allowance for childrenVisa + familyMedical insurance + familyFlight allowance + family**Due to the high number of applicants, only candidates with the relevant skillset will be contacted**

About the job:Position: AI Engineer – Agentic AI SystemsLocation: Ajman, UAEReady to build AI that goes beyond conversations and solves real-world business problems?Here’s an opportunity to work on production-grade Agentic AI systems, intelligent automation, and next-generation AI platforms supporting a leading UAE retail and manufacturing group. If you enjoy solving complex engineering challenges, experimenting with emerging AI technologies, and turning ideas into real-world solutions, this role is worth exploring!Key Responsibilities:Build, maintain, and improve production-grade Agentic AI systems and workflows.Develop AI-powered solutions for document intelligence, compliance, and operational automation.Integrate LLMs with APIs, databases, business tools, and customer support workflows.Debug AI behavior and improve system performance, reliability, and security.Implement testing, monitoring, and evaluation frameworks for AI systems.Support AWS infrastructure, CI/CD pipelines, deployments, and production troubleshooting.Qualifications & Skills:1–3 years of hands-on experience in AI engineering or software development.Strong programming fundamentals, debugging, testing, SQL, and version control skills.Understanding of LLMs, Agentic AI workflows, and tool calling.Familiarity with frameworks such as LangGraph, OpenAI Agents SDK, or Claude Agent SDK.Knowledge of AWS, CI/CD, containers, and production environments.Experience in Document AI, OCR, or document processing is an advantage.Strong problem-solving skills, ownership, and a passion for learning emerging AI technologies.📩 Interested candidates, please share your profile at: drishti.sah@careernet.inOR apply directly.