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.

Who we areAlef Education began with a bold idea: that every learner deserves a personalised and meaningful education experience. What started in 2016 as a small pilot programme in Abu Dhabi has evolved into one of the world’s most dynamic EdTech companies—reshaping how millions of students engage with learning across the globe.Today, Alef is proudly headquartered in the UAE, working hand-in-hand with ministries of education, schools, and teachers to bring smart, data-powered platforms into classrooms in over 14,000 schools.Supporting over 1.1 million students and 50,000 teachers across the UAE, Indonesia & Morocco our AI-driven platforms generate 16+ million data points every day, helping drive smarter learning decisions. Whether it’s improving national exam results, boosting classroom engagement, or supporting educators with world-class tools, Alef is committed to impact at scale.In 2024, Alef made history as the first EdTech company to list on the Abu Dhabi Securities Exchange (ADX), cementing our role as a regional innovator with global reach.About The RoleAt Alef Education, we are at the forefront of digital innovation in Education, leveraging advanced AI to revolutionize education. We foster a collaborative, fast-paced environment where creativity, deep technical expertise, and problem-solving are highly valued. Every team member contributes directly to our groundbreaking products and solutions that are shaping the future of EducationAs AI Engineer will be instrumental in transforming our vision into reality by designing, developing, and deploying cutting-edge generative AI solutions that drive significant business impact and enhance user experiences. You will be at the intersection of AI research and practical software engineering, building and integrating advanced generative models into scalable, production-ready systems. You will play a critical role in shaping our AI strategy and delivering solutionsKey Responsibilities:Design & Develop GenAI Applications: Architect and implement end-to-end AI solutions using Python and modern AI/ML frameworks, including LLMs like GPT and Llama models.Prompt Engineering: Engineer, test, and optimize prompts for large language models to achieve accurate, context-aware outputs.Retrieval-Augmented Generation (RAG): Build and maintain RAG pipelines that aggregate and synthesize data from conversation histories, product documentation, and other sources.Vector Database Integration: Integrate and manage vector embeddings and semantic search using databases such as Pinecone, Weaviate, or FAISS.Agent Orchestration & Inference: Architect workflows for agent orchestration, model selection, prompt configuration, and inference optimization to enable scalable AI applications.Collaboration: Partner with product managers, data scientists, DevOps, and UX/UI teams to align AI deliverables with business goals and user needs.Documentation & Testing: Ensure robust testing, monitoring, and documentation of AI models, pipelines, and APIs to maintain reliability and compliance.Design, deploy, and manage AI workloads using Azure AI services—including Azure OpenAI, Cognitive Services, and AI Search—for secure, compliant, and scalable solutions.Keep up with the latest advancements in generative AI research, models, and technologies—and apply cutting-edge techniques and best practices to our products and infrastructure.To Be The Right Fit, You'll NeedEducational degree related to Statistics, Computer Science or related preferredMinimum 5 years of relevant experienceProficiency in Python, including extensive experience with AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. Knowledge of Java, R, and C++ is also valuable. Expertise in generative models such as GANs, VAEs, and Transformer architectures (e.g., LLMs like GPT, PaLM, LLaMA, Mistral) is essential.Experience with frameworks like LangChain and vector databases (Pinecone, Weaviate) for building context-aware AI applications.Hands on designing data models for efficient retrieval and storage of conversational data and knowledge bases. Proficiency with SQL/NoSQL databases and understanding of data architectures for AI applications.MLOps & Cloud: CI/CD, Agile, Git, Docker, Kubernetes, Github Actions. Experience with major cloud platforms (AWS, Azure, GCP) and their specialized AI/ML services like Azure OpenAI, Azure Machine Learning, and Azure AI services (e.g., Vision, Speech, AI Search).Proficiency in robust software development principles (e.g., object-oriented, functional design) and API Development: RESTful APIs and web service architectures for model integrationProven track record in developing, deploying, and maintaining AI/ML models and applications from inception to production.Innovative, proactive approach to complex technical challenges, including identifying opportunities and proposing data-driven solutions. Ability to translate business needs into AI solutions and adapt to evolving AI tech.Effective teamwork and open-mindedness to working in a diverse, multicultural and global teams.Excellent communication skills Fluency in English, Arabic preferredWhat we offerWe believe our people are our greatest advantage. We value curiosity, purpose, and the drive to make a real difference. When you join Alef, you join a mission — and a team that’s just as passionate about transforming education as you are.Here’s a glimpse of what we offer:Annual flight allowanceEducation allowanceLife insuranceEnhanced leave policyA hybrid work model and up to 40 remote working days per year to work from anywhere (with flexibility built in)At Alef, we don’t just imagine a better future for education.We build it — together.

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.

About the OpportunityJoin a leading global digital consultancy in the UAE as an AI Practice Lead, driving the development and delivery of advanced AI solutions across the MENA region.Based in Dubai, this is a senior, hands-on leadership opportunity combining deep technical expertise, commercial thinking and enterprise client engagement.The RoleAs AI Practice Lead, you'll join the regional leadership team, combining deep technical expertise with commercial thinking and client engagement.We're looking for someone who remains close to the technology. Someone who can architect solutions, lead complex AI delivery and confidently engage with senior stakeholders on technical and strategic challenges.You'll play a key role in growing AI capability across the region, from presales and solution design through to production deployment and internal capability development.Key ResponsibilitiesLead AI presales, proposals and solution design for enterprise and financial services clients.Own the delivery of Generative AI and Machine Learning solutions, including RAG, agentic systems and production-ready applications.Lead AI initiatives from proof of concept through to live production.Build internal AI capability through training, certifications and R&D.Provide technical leadership and guidance across complex AI projects.Work closely with regional leadership to shape AI strategy, solutions and delivery.Translate complex technical concepts into clear recommendations for senior stakeholders.Build and maintain strong relationships with clients and internal teams.Experience & SkillsStrong hands-on engineering experience across classical Machine Learning, Deep Learning and Generative AI.Technical knowledge of Transformers, CNNs, RNNs and modern AI architectures.Proven experience delivering AI solutions from proof of concept into live production environments.Experience with cloud platforms, AI architecture and agentic systems.Experience working within regulated industries, including financial services, telecommunications or government.Background in a hyperscaler, consultancy or in-house AI function.Strong technical credibility with the ability to architect, develop and challenge complex solutions.Excellent communication, presentation and stakeholder management skills.Ability to engage confidently with senior executives and non-technical stakeholders.A collaborative leadership approach with strong commercial awareness.What's on OfferSenior leadership opportunity within a leading global digital consultancy.Opportunity to shape and grow AI capabilities across the MENA region.Direct involvement in complex enterprise AI projects, from solution design through to production.A position within the regional leadership team from day one.Highly competitive salary package.Relocation considered for the right candidate.

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