Your AI career in the UAE starts here

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.

Join one of the world's leading multi-strategy investment platforms as a Quant Researcher focused on Machine Learning and AI. This role sits within a highly successful systematic investment team that is investing heavily in next-generation research capabilities and the application of cutting-edge machine learning techniques to financial markets.The team is seeking exceptional researchers who can bring expertise from frontier AI, deep learning, large-scale modelling, and modern machine learning research into a fast-paced environment where ideas are rapidly tested and deployed. This is an opportunity to work on some of the most challenging prediction problems in the world while having direct impact on investment performance.ResponsibilitiesDevelop and implement machine learning models to identify predictive signals across global marketsResearch and apply state-of-the-art deep learning techniques for alpha generationDesign and test neural network architectures for financial forecasting and pattern recognitionWork with large, complex, and alternative datasets to uncover unique sources of investment insightConduct rigorous research, experimentation, and statistical validation of trading signalsCollaborate closely with Portfolio Managers, Quant Researchers, and Data ScientistsBuild scalable research infrastructure and production-ready modelling pipelinesStay at the forefront of developments in AI, machine learning, and quantitative researchContribute to the development of systematic investment strategies using modern ML techniquesRequirementsPhD or Master's degree in Machine Learning, Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative disciplineStrong background in machine learning research and modellingExperience building and deploying deep learning models in real-world environmentsExpertise in areas such as neural networks, representation learning, transformers, foundation models, reinforcement learning, probabilistic modelling, or large-scale optimisationExcellent programming skills in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlowStrong mathematical and statistical foundationsDemonstrated ability to conduct independent research and solve complex problemsExperience from leading AI labs, deep technology companies, research institutions, or high-performance machine learning environments is highly desirablePreferred BackgroundsWe are particularly interested in candidates from:Leading AI research labsFrontier foundation model teamsDeep learning and applied AI organisationsResearch-focused technology companiesQuantitative research groupsHigh-performance computing and data science environmentsAcademic researchers with strong publication records in machine learning or artificial intelligenceWhat You'll GetOpportunity to apply cutting-edge AI research to real-world investment decisionsAccess to significant computational, data, and research resourcesHighly collaborative environment alongside world-class investors and researchersCompetitive compensation package with substantial upside potentialDirect impact on investment outcomes and business growthRelocation support to Dubai where applicableExposure to one of the most intellectually challenging applications of machine learningThis position is ideal for researchers who are passionate about solving difficult prediction problems, building innovative machine learning systems, and applying frontier AI techniques in a highly competitive and rewarding environment. Desired Skills and ExperienceSeeking elite ML Researchers and PhDs to develop deep learning models for alpha generation within a highly capitalised, technology-driven investment team.

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.

Company Description KON-ae is a next-generation AI Agent digital human workspace that enables enterprises to deploy real-time agentic AI avatars capable of performing tasks and collaborating with human teams. The company focuses on replacing fragmented tools and static automation with intelligent, always-on AI agents that communicate, act, and execute tasks through human-like avatar interfaces. KON-ae helps organizations eliminate operational friction, unlock contextual intelligence, and scale productivity without increasing headcount. Growing teams rely on KON-ae for AI agentic avatars, digital twin technology, customer support automation, internal query handling, knowledge base intelligence, and custom AI solutions. Founded in 2024 and based in Dubai, United Arab Emirates, KON-ae partners with forward-thinking enterprises to reimagine how work gets done through deeply integrated, interactive AI agents.Role Description The AI Engineer will design, build, and optimize AI agents and digital human avatars that integrate seamlessly into enterprise workflows. This full-time, on-site role in Dubai, United Arab Emirates involves developing and deploying machine learning models, including neural networks and NLP systems, to power real-time interactions and task execution across departments. The AI Engineer will collaborate with product, design, and engineering teams to translate business requirements into scalable AI solutions, implement APIs and integrations, and ensure robust performance in production environments. Day-to-day responsibilities include data analysis and pattern recognition, model training and evaluation, software development and testing, and continuous improvement of agent behavior and contextual intelligence. The role also includes documenting technical approaches, contributing to architecture decisions, and supporting enterprise customers during implementation and optimization phases.Qualifications Strong foundation in Computer Science and Software Development, including algorithms, data structures, and modern programming languages (e.g., Python, JavaScript, or Java).Hands-on experience with Neural Networks and Pattern Recognition, using frameworks such as TensorFlow, PyTorch, or similar deep learning libraries.Practical expertise in Natural Language Processing (NLP), including building, fine-tuning, and deploying language models for real-time conversational agents.Experience designing and deploying AI solutions in production environments, including RESTful APIs, microservices, and cloud platforms (e.g., AWS, GCP, Azure).Knowledge of data pipelines, model evaluation, and monitoring, with a focus on reliability, scalability, and low-latency inference.Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.Ability to work closely with cross-functional teams, communicate complex technical concepts clearly, and

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.