Your AI career in the UAE starts here

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.

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout 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 an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

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.

🚀 We’re Hiring: AI Engineer | Dubai, UAEWe’re looking for a hands-on AI Engineer who can turn business requirements into reliable AI applications, intelligent agents, and automation workflows.📍 Applicants must currently live in Dubai. This is a mandatory requirement.What you’ll work on:Build AI assistants, connect models to business tools and data, automate complex tasks, and take solutions from prototype to deployment.Technical skills we’re looking for:▪️ LLMs & Generative AIUnderstanding of large language models, prompt engineering, context management, structured outputs, function calling, and model limitations. Ability to select suitable models and balance quality, speed, and cost.▪️ AI Agents & Tool IntegrationExperience building agents that use APIs and external tools, manage conversation state, execute multi-step workflows, and handle failures. Understanding of when human approval is needed.▪️ MCP — Model Context ProtocolUnderstanding of MCP hosts, clients, and servers; tools, resources, and prompts; and how to connect AI applications to external systems with appropriate access controls. Experience building or integrating MCP servers is a strong advantage.▪️ RAG & Knowledge SystemsFamiliarity with Retrieval-Augmented Generation, document ingestion, chunking, embeddings, vector databases, semantic search, and retrieval quality. Ability to build assistants grounded in company documents and data.▪️ Software Engineering & DeploymentStrong Python skills, API integration, backend development, Git, debugging, and testing. Ability to deploy, monitor, and maintain AI applications.▪️ Evaluation, Reliability & SecurityAbility to evaluate responses and task completion, investigate hallucinations, monitor latency and usage costs, and address prompt injection, sensitive data handling, and unauthorized tool access.Additional advantages: experience with open-source models, fine-tuning, multimodal AI, Docker, and cloud deployment.How to apply:Upload your CV to Google Drive and set access to “Anyone with the link can view.” Submit your CV link and application details through this page:https://xpu.live/contact/Include the following in your application:Your current location in Dubai.A summary of your relevant AI experience.One or two AI projects, explaining your contribution and the technologies used. Include GitHub, portfolio, or demo links where available.Your current UAE visa status: visa type, expiry date, current work authorization, and whether you require employer sponsorship.Your availability and notice period.⚠️ Applications will be rejected if you are not currently living in Dubai, do not meet the essential technical requirements, or submit an incomplete application or inaccessible CV link.#Hiring #AIEngineer #DubaiJobs #GenerativeAI #LLM #AIAgents #MCP #RAG

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.

We're partnered with an organisation looking for a Director of AI to lead the design, development, and deployment of AI capabilities across the business. This isn’t a role for someone who has only adopted off-the-shelf AI tools. They want a hands-on technical leader who has built AI systems from the ground up and taken them into production.This is a chance to shape AI strategy at a senior level while staying close to the technology, and to make a real impact in a fast-moving international environment.The RoleDefine and drive the organisation’s AI strategy, roadmap, and prioritiesLead the architecture, development, and deployment of AI and machine learning solutions, from prototype through to production at scaleBuild, mentor, and grow a high-performing team of AI/ML engineers and data scientistsWork with executive leadership and business stakeholders to find high-value AI opportunities and turn them into working productsSet best practices for model development, evaluation, MLOps, governance, and responsible AIStay current with advances in AI and judge when to build, buy, or partnerWhat We’re Looking ForProven track record of building AI/ML systems: designing, training, fine-tuning, and deploying models in production environmentsDeep technical expertise in areas such as machine learning, deep learning, NLP, LLMs, or computer visionHands-on experience with modern AI frameworks and infrastructure (e.g. PyTorch, TensorFlow, cloud ML platforms, MLOps tooling)Senior leadership experience, including building and managing technical teamsInternational exposure. Experience working in markets such as the US, UK, or Singapore is highly desirableAbility to explain complex technical concepts clearly to non-technical stakeholdersWillingness and enthusiasm to relocate to [Location]What’s on OfferA senior leadership role with genuine influence over AI directionCompetitive salary and benefits packageFull relocation supportThe opportunity to build something meaningful from the ground upInterested?If you’re an AI builder who wants to lead, we’d love to hear from you