Your AI career in the UAE starts here

AI 构建工程师（AI Builder）职位概述 我们正在寻找一名 AI 构建工程师，负责打造能够推理、使用工具并完成多步骤任务的智能体（Agentic）应用。这是一个实践性很强的岗位，融合了 AI 工程、产品思维和智能体开发方法，旨在将业务需求快速转化为可靠的解决方案。主要职责设计并构建智能体应用及工作流。将 AI 模型与 API、数据源、工具及用户界面进行集成。在开发、测试和文档编写的全过程中运用 AI 智能体。快速制作原型，并根据用户反馈持续改进解决方案。评估并优化应用的可靠性、安全性、成本和性能。任职要求具有构建 AI 产品、自动化系统或全栈应用的经验。精通 Python、TypeScript、Golang 或类似编程语言。熟悉大语言模型（LLM）、工具调用（Tool Calling）、检索增强生成（RAG）及智能体编排。能够将业务问题转化为可投入生产的解决方案。富有好奇心，善于协作，能够适应快速变化的工作环境。普通话流利，并具备专业水平的英语能力。

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.

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.

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.

Conversational AI LeadON-SITE - UAEPermanent roleFinancial Services**Relocation benefits are on offer for those relocating from overseas**We are looking for an experienced AI leader to head the strategy, design and delivery of conversational AI initiatives across the organisation.This role will be responsible for transforming how customers and employees interact with the business through AI-powered chat, voice assistants, virtual agents and Generative AI. You will identify high-value use cases, define the conversational AI roadmap and lead initiatives from concept and proof of value through to enterprise-scale production.Business experience:10+ years industry experienceBanking or FS experienceLeadership & stakeholder managementProduct ownership and leadershipAct as an SME for Conversational AIDesign and run the roadmap for these initiativesEnsure Gen AI apps include appropriate controlsTechnical expertiseLarge Language Models and NLPSpeech-to-Text / Text-to-SpeechPrompt engineeringRAGML/OPS and EngineeringVector databases and semantic searchKnowledge graphsAI orchestrationCloud AI platformsEducation - MUST HAVE a degree to qualify for this role.**Only applicants with the relevant skillset against the above, will be contacted**