Your AI career in the UAE starts here

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry. Join the FIVE Tribe - and Get Ready to Make Waves. The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter. Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights! What We’re Looking For Experience 0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fields Hands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software development Exposure to real-world business applications of AI, machine learning, analytics, or automation is preferred Technical Skills Strong proficiency in Python and SQL (mandatory) Solid understanding of data analysis, statistics, and machine learning fundamentals Familiarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy) Experience working with APIs, structured and unstructured data sources Understanding of LLMs, AI agents, prompt engineering, and API-based AI workflows Basic familiarity with cloud platforms (AWS preferred), including storage and compute services Understanding of data ingestion, ETL processes, and pipeline design Knowledge of data visualization and reporting tools is an advantage Core Competencies Strong analytical and problem-solving mindset Ability to translate ambiguous business requirements into practical solutions High attention to detail and commitment to data accuracy Pragmatic approach to building scalable and maintainable solutions Strong communication skills with both technical and non-technical stakeholders Curiosity, adaptability, and eagerness to learn emerging AI technologies What Makes This Role Unique Opportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guests Exposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analytics High ownership and visibility from the beginning of your career Strong mentorship and accelerated learning environment Direct impact on business performance, guest experience, and operational efficiency Performance KPIs Successful delivery of AI and data projects Accuracy and reliability of data pipelines and models Improvement in automation and operational efficiency Quality and performance of AI assistants and applications Adoption and business impact of deployed solutions Key Responsibilities AI & Data Applications Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services Develop AI-powered tools and assistants that improve operational efficiency and guest experiences Support the design and deployment of conversational AI solutions across web and messaging platforms Collaborate with business teams to identify opportunities for AI-driven automation Data Engineering & Pipelines Build, maintain, and optimize data pipelines for machine learning, analytics, and reporting Collect, clean, transform, and structure data from multiple internal and external sources Ensure data quality, consistency, and reliability across systems Support integration of APIs, cloud storage, and business platforms Machine Learning & Model Evaluation Develop and test machine learning models for forecasting, personalization, and business optimization Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processes Assist in feature engineering, model tuning, and performance analysis Monitor deployed models and identify opportunities for continuous improvement Business Problem Solving Work closely with stakeholders across reservations, marketing, revenue, and operations teams Translate business requirements into practical AI and data solutions Analyse complex datasets to uncover actionable insights and recommendations Support decision-making through data-driven analysis and reporting Documentation & Continuous Improvement Write clean, maintainable, and reusable code following best practices Document technical processes, models, and system architectures Stay updated with emerging AI technologies, tools, and industry trends Contribute to the continuous improvement of data and AI capabilities across the organization The Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential. Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community. An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organizations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity. About FIVE Hotels and ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage. Find out more here: fivehotelsandresorts.com About FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.com

Pipeline Integrity Engineer — Digital Twin / Pi-Twin Program 📍 Abu Dhabi, UAE (on-site / hybrid) · Full-timeAbout the roleNeurula Technologies is building Pi-Twin, an AI-driven pipeline integrity digital twin that fuses real-time sensor data with physics-based modeling to predict, localize, and quantify pipeline threats before they escalate. We're deploying the platform on a flagship program with large organization and are hiring a Pipeline Integrity Engineer to sit at the intersection of integrity engineering, sensing technology, and data science.You'll be part of the integrity domain expert on the team — translating real-world pipeline physics, inspection data, and threat assessment into the logic that drives our digital twin, and working hand-in-hand with the operator's pipeline group through POC and scale-up.What you'll doOwn the integrity engineering basis for the Pi-Twin platform: corrosion, erosion, fatigue, mechanical damage, and geotechnical threat models for onshore and subsea pipelinesTranslate inspection and monitoring data (ILI, DAS/DTS fiber-optic sensing, ultrasonic, acoustic emission, CP/corrosion monitoring) into defect characterization and remaining-life assessmentDefine and validate acceptance criteria, anomaly thresholds, and alarm logic with the operator's integrity teamWork alongside data scientists and ML engineers to ground physics-informed models in real pipeline behavior, including multiphase flow and pressure/temperature dynamicsSupport fitness-for-service and defect assessment (e.g., ASME B31G/Modified B31G, API 579, DNV) and risk-based inspection planningContribute to the subsea POC: instrumentation layout, field checklists, commissioning, and interpretation of sensor resultsInterface directly with client side engineers and act as a technical point of contact during reviews and site activitiesWhat you bringBachelor's or Master's in Mechanical, Petroleum, Materials, Chemical, or related engineering3+ years in pipeline integrity management within oil & gas (operator, EPC, or specialist integrity firm)Strong command of integrity codes and standards: ASME B31.4/B31.8, API 1160/1163, DNV-ST-F101, and corrosion/RBI methodologiesHands-on experience with one or more monitoring/inspection technologies (ILI, fiber-optic DAS/DTS, UT, AE, CP)Working understanding of pipeline hydraulics and multiphase flowAbility to work across disciplines — comfortable explaining integrity concepts to data scientists and software engineersExcellent written and verbal communication for operator-facing technical documentationNice to haveDirect experience in the UAE / GCC oil & gas sector or with ADNOC operating companies and specificationsSubsea pipeline integrity exposureFamiliarity with digital twin, predictive analytics, or condition-based monitoring platformsExposure to physics-informed / data-driven modeling conceptsRelevant certifications (API 1169, NACE/AMPP corrosion, etc.)Why NeurulaJoin a small, high-velocity team building category-defining technology for one of the world's largest energy operators. You'll have real ownership, direct access to a marquee client, and the chance to shape a platform from POC to production.

We're hiring: Product AI Engineer (Platform) — Rust / Go — UAE / GCCMyndlab.ai is an AI-powered application builder developed by UAE-based Permus Software House. It functions as a platform that allows developers, founders, and product teams to generate production-grade code for websites, applications, and dashboards using natural language prompts.As a Product AI Engineer (Platform), you will:Design and ship high-performance backend services in Rust and/or Go that power our multi-agent orchestration engine.Build out our distributed, multi-tenant microservices architecture — event-driven services, shared platform packages, and the contracts that hold them together.Work directly on our in-house agentic graph framework — the part of the system that lets agents plan, act, and recover.Own features end to end: from the orchestration internals and gRPC/REST APIs to the platform surfaces customers actually use.Make real architecture calls, not tickets handed down — we're small, flat, and you'll be heard.Who we're looking for:Roughly 4–6 years building production software — though we care far more about what you've shipped than the number. Show us the work.People who see AI as a productivity multiplier, not a threat — and who code that way day to day.Comfortable learning, unlearning, and moving fast. You research independently and deliver end to end.Long-term builders who want to commit to a product and see it through — not collect a logo and leave.Based in the UAE / GCC, able to start immediately or soon.Strong communicator with the ability to convey complex ideas clearlyTeam playerTechnical Requirements:Strong in a strongly-typed, compiled language — Rust or Go (one of them solid, the other learnable).Distributed systems and microservices: clean service boundaries, async/event-driven communication, and API design over gRPC or REST.Comfort with a message/event-streaming system — Kafka, NATS/JetStream, RabbitMQ or similar; any one is fine.Solid data fundamentals on a relational database (PostgreSQL, MySQL or equivalent); bonus for embeddings and vector search(Qdrant/Pinecone etc.).Ship and operate what you build: containers and orchestration (Docker, Kubernetes) on any major cloud (Azure, AWS or GCP), with CI/CD and observability (OpenTelemetry, Prometheus, Grafana — any stack).Sensible handling of auth, multi-tenancy and secrets — JWT/OAuth, RBAC, and a secrets manager (Vault or a cloud KMS).The AI craft (have it, or be hungry to learn it fast):Agentic AI frameworks — ideally Go/Rust-based (Rig, Eino, Genkit, or building without a framework at all); experience with the Python ones (LangGraph, CrewAI) still counts.The LLM toolkit: prompt engineering, context management, embeddings and retrieval (RAG), and a working grasp of how ML models behave — enough to reason about why an agent did what it did.Running models locally (Ollama, llama.cpp, vLLM or similar) and wiring LLMs — local or hosted — into real services.What you get:Frontier problems, real ownership, customers using what you ship in weeks rather than months — and a front-row seat to building an AI platform from first principles rather than gluing libraries together.If this sounds like you, send us a DM or drop a note to careers@myndlab.ai with one thing you've built that you're proud of. Doesn't have to be AI — we want to see how you think and the quality of your craft.Let's build!

Company DescriptionInsilico Medicine is a clinical-stage biotechnology company harnessing the power of generative AI to revolutionize drug discovery and development. Leveraging innovative AI platforms built on deep generative models, reinforcement learning, and other advanced machine learning techniques, the company specializes in discovering novel drug targets and designing molecular structures with desired properties. Insilico Medicine focuses on creating groundbreaking solutions for a range of diseases, including cancer, fibrosis, autoimmune diseases, and aging-related conditions. Their mission is to accelerate the development of innovative therapies, bridging the gap between biology, chemistry, and clinical trials.Role DescriptionWe are seeking a full-time Machine Learning Engineer to join our team on-site at our Abu Dhabi office. The successful candidate will design, develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will be writing production-level Python code, run ML-related experiments, integrate new functionalities, work with foundation models. The candidate will also provide technical support to the DevOps team in running the ML infrastructure and perform intrateam MLOps. Place of workLevel 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates Reports toTeam Lead in CheminformaticsResponsibilitiesDevelop and maintain the internal machine learning (ML) pipeline at the production level to support cutting-edge drug discovery initiatives.Optimize, refactor, and debug existing code in Python to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness.Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. General Requirements:  I.             EducationBachelor’s degree/Master’s degree/PhD degree in a Machine Learning related field.II.          Experience and SkillsStrong background in machine learning (ML) with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8, Google style guide, or similar best practices. Experience with NoSQL databases, such as MongoDB. Experience working with Linux or other Unix-based operating systems.Proficiency in version control systems like Git. Hands-on experience with Python numerical and machine learning libraries such as Numpy, Pandas, PyTorch, and Scikit-learn.Solid understanding of object-oriented programming (OOP), design patterns, and software architecture best practices. A proactive attitude, strong problem-solving skills, and a commitment to continuous learning.III.       Preferred Skills Experience with deep learning (DL) frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization.  Hands-on experience with a range of ML/DL methods such as Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage

We’re Hiring: AI Engineer | UAE NWe are looking for a passionate and hands-on AI Engineer to join our growing team and help build cutting-edge AI-powered solutions.About the RoleAs an AI Engineer, you will be responsible for designing, building, and deploying AI-driven features and applications using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on developing real-world AI products, not research or model training.What You’ll DoDevelop and deploy AI-powered applications from prototype to productionIntegrate LLMs (GPT, Claude) into business solutions using APIsDesign prompts, workflows, and AI agents to improve output qualityWork with Azure AI Foundry and modern AI platformsContinuously evaluate and adopt new AI tools and technologiesCollaborate with product, design, and engineering teamsWhat We’re Looking ForDegree in Computer Science, AI, or related fieldStrong Python and software engineering skillsExperience working with APIs and LLM integrationsHands-on experience with GPT, Claude, or similar modelsFamiliarity with tools like Git and modern AI frameworksAbility to work in a fast-paced, evolving environmentNice to HaveExperience with LangChain, LlamaIndex, or similar frameworksKnowledge of RAG, vector databases, or Azure AI toolsExposure to open-source LLMs (Hugging Face, Ollama)

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!