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We’re looking for an exceptional early‑career Data Scientist with a strong academic background and outstanding Python capability to work on real, high‑impact machine‑learning problems in a data‑rich, fast‑moving environment.This role is ideal for a top master’s graduate who enjoys moving from theory to practice — building models, experimenting with data, and turning rigorous analysis into tools that influence real decisions.What You’ll Do:Build and experiment with machine‑learning models across forecasting, classification, clustering, optimisation, and anomaly detectionWork hands‑on with large, real‑world datasets: feature engineering, hypothesis testing, and model evaluationDesign and test ML pipelines using techniques such as LSTM, SVM, K‑means, regression, tree‑based and ensemble modelsDevelop clean, production‑ready Python tooling for modelling, back testing, and performance monitoringCollaborate with engineers to move models from research into reliable, deployed workflowsWhat We’re Looking ForMaster’s degree from a leading university (Machine Learning, AI, Data Science, Statistics, or Computer Science)Strong foundations in machine learning, statistics, and time‑series dataExcellent Python skills with evidence of real ML or analytical projectsComfortable balancing academic rigour with speed and pragmatismCurious, analytical, and excited to solve messy, real‑world problems Show more Show less

Role SummaryStellar Technologies is seeking a Machine Learning Engineer (GenAI) to design, build, and deploy next-generation AI systems combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.In this role, you will bridge model development and production engineering — developing scalable AI pipelines, integrating real-time APIs, and ensuring high-performance AI services that power enterprise-grade solutions. You will work at the intersection of machine learning, cloud infrastructure, and applied research, collaborating with top engineers and data scientists to deliver intelligent, production-ready AI capabilities.Key ResponsibilitiesDevelop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).Build and deploy production-grade ML pipelines with real-time inference and retrieval components.Design and manage APIs and streaming services to integrate AI models into enterprise platforms.Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.Automate data preprocessing, model training, evaluation, and versioning pipelines.Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.Ensure governance, compliance, and security of deployed AI workloads.Conduct performance benchmarking and optimize inference latency and cost.Monitor AI systems in production using observability frameworks (logging, metrics, tracing).Participate in architecture discussions to enhance scalability and reliability of AI services.Required Skills & ExperienceStrong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.Solid experience in API and microservices engineering (FastAPI, Flask).Familiarity with streaming architectures and real-time data handling.Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.Experience with containerization and orchestration (Docker, Kubernetes).Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.Experience in CI/CD, model deployment, and production monitoring.Preferred SkillsExposure to GPU-based inference optimization and serverless deployment.Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).Experience in model fine-tuning, prompt engineering, or agentic orchestration.Understanding of AI governance, ethical AI, and data privacy frameworks.Soft SkillsStrong analytical and problem-solving mindset.Excellent collaboration and communication skills.Passion for innovation, experimentation, and applied AI.Job Category: Software EngineerJob Type: Full TimeJob Location: Abu Dhabi Show more Show less

Job DescriptionThe College of Information Technology (CIT) is looking to hire a faculty member in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research records in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML/Computer Vision in a wide range of fields including Smart Health Systems, Health Informatics, Cloud Computing, Robotics, Business Intelligence, Agriculture, and Decision Support Systems. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), ranked 229 in global QS ranking, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teachingClose Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

About Joveo:Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close.Role: Product ManagerLocation: RemoteRole Overview:We are hiring a Product Manager to own the roadmap, strategy, and delivery of key product areas within Joveo's platform. You will define what gets built, why it matters, and how it ships — working at the intersection of customer needs, business goals, and engineering reality.Key Responsibilities:- Define and maintain product roadmaps grounded in data, customer research, and strategy- Write clear, detailed product requirements and acceptance criteria for engineering teams- Prioritize the backlog, manage trade-offs, and align stakeholders on scope- Conduct user research, customer interviews, and competitive analysis- Define and track product KPIs — measuring impact and iterating quickly- Collaborate daily with engineering, design, data, and GTM teamsRequired Skills & Qualifications:- Proven experience as a Product Manager in a technology company- Strong ability to translate ambiguous problems into clear product solutions- Data-driven decision making — comfortable with analytics tools and SQL basics- Experience working in agile environments with cross-functional engineering teams- Excellent written and verbal communication skills for distributed teams- Ability to influence without authority and build alignment across stakeholdersEqual Opportunity Employer:Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.If your dream job is one that doesn't fit neatly into a job title — apply.Joveo. Where AI meets the future of work. Show more Show less

About Joveo:Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close.Role: Python DeveloperLocation: RemoteRole Overview:We are hiring a Python Developer to build and maintain the backend services and data pipelines that power Joveo's AI-driven hiring platform. You will write production Python at scale — from APIs to automation to ML-adjacent tooling — in a team that ships fast and thinks deeply.Key Responsibilities:- Develop robust Python services, APIs, and backend components- Build and maintain data processing pipelines and ETL workflows- Integrate third-party services and internal APIs using Python- Write unit and integration tests to ensure reliability and coverage- Optimize code for performance, scalability, and maintainability- Participate in architecture reviews and technical planning sessionsRequired Skills & Qualifications:- Strong proficiency in Python (3.x) and the modern Python ecosystem- Experience with frameworks such as FastAPI, Django, or Flask- Solid understanding of databases — SQL (PostgreSQL, MySQL) and/or NoSQL- Familiarity with cloud infrastructure (AWS, GCP, or Azure)- Experience with task queues, async processing, or data pipeline tools- Ability to write clean, well-tested, production-ready codeEqual Opportunity Employer:Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.If your dream job is one that doesn't fit neatly into a job title — apply.Joveo. Where AI meets the future of work. Show more Show less

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflowsCollaborate with backend engineers and data scientists to integrate AI-driven features into our platformsCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricingImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecastsStay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy spaceMonitor the performance of AI tools and models, ensuring they are functioning efficiently and effectivelyRequirementsMinimum 3 years of engineering experienceProven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation and building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest in energy markets and trading strategiesUnderstanding of weather forecasting, energy demand patterns, and production modellingExposure to Natural Language Processing (NLP) or other related fieldsBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less