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.

About HumaiHumai builds AI you can vouch for. Founded in Dubai in 2025, we exist for one problem: companies have adopted AI but will not rely on it for work with consequences. Our answer is one accountability model across two products. Huscribe for what AI does: it checks agentic workflows against what their owner approved. Mairit for what AI produces: it puts a qualified, accountable name on the work.Audited to SOC 2 Type II and certified to ISO/IEC 27001:2022, both products in scope. Salesforce partner. Small team, founder-led, no layers.The roleYou join the AI team behind Mairit and Huscribe and learn by shipping. You work directly with our senior AI engineer, our senior backend engineer and the founder on the pipelines behind both products. Within months, parts of those pipelines are yours.We hire juniors for judgement and care, not years. Show us something you built and how you tested it.On-site in Dubai. We sponsor the employment visa.Why take this seatProduction from month one. Pipelines with paying customers, and your code in them.People. Senior AI and backend engineers review your work every day, and the founder is in the room.Growth. A junior title we expect you to outgrow. We promote on what you own, not on tenure.Range. Frontier models, open models, evaluation, data, documents, MCP. You touch the whole stack in your first year, and you build with the best AI tools from day one.Pay. A salary that grows with what you take on, a UAE employment visa, and medical insurance.What you'll doBuild and maintain evaluation sets and graders for our pipelines, run experiments, and report what changedImplement pipeline steps under senior review: prompts, checks, parsers, retrievalCurate clean, anonymised corpora from reviewed work: terminology, exemplars, test casesWork on document processing: OCR output, layout, rendering checksTrace failures end to end, then fix them or escalate with a clear write-upBuild small internal tools the ops and product teams use every dayWhat good looks like after a yearYou own the evaluation sets for at least one pipeline and the team trusts your numbersSteps you wrote run in production every dayYou can take a failed job, find the cause, and explain it in five sentencesYou have shipped something a colleague uses without being asked twiceWhat you bringA degree in computer science, engineering, maths or similar, or equivalent proof: projects, open source, internshipsSolid Python. Comfortable with Git, tests, HTTP APIs and SQLHands-on LLM work: you have built at least one real thing (a RAG app, an agent, an eval harness) and can show itYou understand why "it looked right" is not evidence: test sets, precision and recall, regressionsYou read other people's code without complaint and ask before guessingYou write clearlyNice to haveArabic reading abilityLangGraph, LangChain or DSPyOCR or document AIVector databasesAzureNot for you ifYou would rather wait for instructions than askDetails bore youYou want to work only on the model and never on the dataYou want to work remote

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

We offer flexibility in location for this role, enabling you to support our international customer base and contribute to our continued growth.At Datafusion.AI, we are revolutionizing voice and data capturing and processing for telecommunications and governmental agencies through innovative IP and Voice data stream processing and analytics. Our cutting-edge solutions shape the future of global communication, processing billions of data points daily and directly impacting government operations.We are seeking a talented and exceptional Artificial Intelligence/Machine Learning Engineer who wants to make a difference in the world, has a strong drive for continuous learning and development, is open and collaborative, and never stops striving to improve themselves and the products or services they are responsible for. You will be responsible for developing and optimizing advanced machine learning (ML) models across various domains, including natural language processing (NLP), computer vision, and speech processing. This role requires broad expertise in large language modelsKey ResponsibilitiesDesign, implement, and fine-tune Large Language Models (LLMs) for various NLP tasks, including text classification, entity extraction, sentiment analysis, and conversational AI applications.Develop and optimize diffusion models for generating synthetic data, augmenting data, and creating multimodal content to enhance training datasets.Build and maintain end-to-end machine learning pipelines for text processing, speech recognition, and multimodal data analysis.Implement state-of-the-art transformer architectures and attention mechanisms for various sequence modeling tasks across different data modalities.Research and integrate cutting-edge ML techniques, including few-shot learning, transfer learning, and multi-task learning approaches.Collaborate with engineering teams to deploy ML models in production environments, ensuring scalability and reliability.Develop custom training strategies, loss functions, and evaluation frameworks for domain-specific applications in telecommunications and government sectors.Optimize model performance, inference speed, and resource utilization for deployment across various hardware configurations.Conduct comprehensive model evaluation, A/B testing, and performance monitoring to ensure continuous improvement.Create technical documentation, research reports, and best practice guidelines for ML development processes.Mentor junior team members and contribute to the advancement of ML practices across the organization.Required QualificationsAdvanced degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field.4+ years of experience in machine learning engineering with a focus on deep learning and neural networks.Strong proficiency in Python and extensive experience with PyTorch, TensorFlow, and the HuggingFace ecosystem.Demonstrated expertise with Large Language Models including GPT, BERT, T5, LLaMA, and similar transformer-based architectures.Hands-on experience with diffusion models such as Stable Diffusion, DDPM, DDIM, or similar generative modeling techniques.Experience with ASR (Automatic Speech Recognition) systems and speech processing pipelines, including models like Whisper, Wav2Vec2, or similar technologies.Solid understanding of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and sequence modeling.Experience with parameter-efficient fine-tuning methods, including LoRA, QLoRA, AdaLoRA, and other PEFT techniques.Knowledge of distributed training, model parallelism, and large-scale data processing frameworks.Familiarity with MLOps practices, model deployment, and production monitoring systems.Strong mathematical foundation in statistics, linear algebra, and optimization theory.Technical SkillsProgramming Languages: Expert-level Python; proficiency in C/C++, JavaScript, or Julia for performance optimization.Deep Learning Frameworks: Advanced experience with PyTorch, TensorFlow, JAX, and HuggingFace Transformers.LLM Technologies: Extensive knowledge of transformer architectures, attention mechanisms, tokenizers, and model scaling techniques.Generative Models: Hands-on experience with diffusion models, VAEs, GANs, and other generative modeling approaches.Fine-Tuning Techniques: Proficiency with LoRA, QLoRA, prefix tuning, prompt tuning, adapters, and instruction tuning methodologies.NLP Libraries: Experience with spaCy, NLTK, Gensim, sentence-transformers, and domain-specific NLP tools.Speech Processing: Familiarity with librosa, torchaudio, SpeechBrain, and audio processing pipelines.Model Optimization: Knowledge of quantization, pruning, distillation, ONNX, TensorRT, and inference optimization.Data Processing: Expertise in pandas, NumPy, Apache Spark, Dask, and distributed computing frameworks.MLOps Tools: Experience with Docker, Kubernetes, MLflow, Weights & Biases, Ray, and cloud ML platforms.Proficient in version control using Git, DVC, and collaborative ML development workflows.Preferred QualificationsExperience with multimodal learning combining text, audio, and visual data modalities.Knowledge of reinforcement learning from human feedback (RLHF) and constitutional AI approaches.Familiarity with federated learning and privacy-preserving machine learning techniques.Experience with real-time inference systems and streaming data processing.Understanding of model interpretability, explainable AI, and bias detection methodologies.Knowledge of graph neural networks and knowledge graph embedding techniques.Experience with AutoML frameworks and neural architecture search (NAS).Contributions to open-source ML projects or published research in top-tier conferences.Experience with edge deployment and mobile optimization for ML models.Understanding of cybersecurity applications and adversarial machine learning.Personal AttributesExceptional problem-solving skills and ability to approach complex ML challenges from first principles.Strong research mindset with the ability to stay current with the rapidly evolving ML/AI landscape.Excellent communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences.Self-driven and proactive, with a passion for pushing the boundaries of machine learning technology.Adaptable and open-minded, able to work effectively across different problem domains and data modalities.Collaborative team player with experience working in cross-functional environments.Strong attention to detail with commitment to reproducible and ethical AI practices.Additional InformationLanguage: Fluent oral and written English is mandatory.Good interpersonal skillsExcellent organizational skillsTeam player but able to work on own initiativeGood written and oral communication skillsEnthusiastic, self-starter and highly self-motivatedAppreciation of cultural differencesAttention to detailTravel: Occasional travel may be required for conferences, client meetings, or inter-office collaboration.We offer a very competitive package with excellent benefits and the opportunity to work on cutting-edgetechnologies that shape the future of telecommunications and data analytics. If you are a visionary technologist passionate about advancing the state-of-the-art in machine learning and making a global impact through innovative AI solutions, we want to hear from you!

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

AI Software EngineerLocation: Hybrid(UAE)Type: Full-TimeAbout the RoleWe are working with an innovative technology company looking for an AI Software Engineer to join a high-performing engineering team building next-generation AI-powered applications.This is an opportunity to work on complex LLM-based systems, designing intelligent workflows and developing production-ready AI solutions that solve challenging real-world problems. You'll collaborate with software engineers, product teams and domain experts to build scalable, reliable AI capabilities while staying at the forefront of emerging technologies.ResponsibilitiesDesign, build and enhance production-grade LLM-powered applications.Develop prompt architectures and agentic AI workflows.Build evaluation frameworks and define meaningful metrics to measure model performance and reliability.Design and implement scalable software solutions using Python and modern engineering best practices.Integrate AI capabilities into existing platforms, services and backend systems.Prototype, test and productionise new AI features and model interactions.Improve quality, safety and observability through monitoring, testing and guardrails.Collaborate closely with cross-functional teams to deliver high-quality technical solutions.Contribute to architecture discussions and share knowledge with the wider engineering team.Required Skills & ExperienceCommercial experience building complex LLM-based applications.Strong prompt engineering skills with experience designing agentic AI workflows.Experience creating evaluation frameworks, benchmarks and custom performance metrics for AI systems.Strong software engineering fundamentals with excellent Python development experience.Experience building scalable production systems.Familiarity with cloud platforms, CI/CD pipelines and modern software engineering practices.Passion for keeping up to date with the latest AI research and emerging technologies.Excellent problem-solving and communication skills.Comfortable working in a fast-paced, collaborative engineering environment.Desirable ExperienceExperience working on production AI platforms.Understanding of model monitoring, evaluation and observability.Knowledge of software architecture and distributed systems.Experience collaborating across engineering, product and technical teams.What's on OfferFully remote working across the UAE.Competitive salary and benefits package.Flexible working hours.Annual learning and development budget.Home office equipment allowance.Opportunity to work on cutting-edge AI technology.Collaborative, high-performing engineering culture.Long-term career growth within an innovative technology business.