Your AI career in the UAE starts here

About Insilico MedicineInsilico Medicine is an end-to-end, artificial intelligence (AI) -driven pharma-biotechnology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform across biology, chemistry, and clinical development. For more info, visit our website https://insilico.comAbout the Role We are seeking a Machine Learning Scientist with expertise in modern generative modelling and structure-aware machine learning to contribute to the development of advanced AI systems for modelling complex three-dimensional molecular data. In this role, you will develop deep learning approaches that operate on spatial molecular representations, integrate physical and geometric constraints, and support computational workflows for analyzing complex molecular systems.Place of workLevel 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates Reports toHead of AI for Chemistry SolutionsResponsibilitiesModel Research & Development-       Develop machine learning models to analyze and model three-dimensional molecular structures and interactions.-       Design computational workflows for evaluating and prioritizing candidate structures based on predicted structural and physicochemical properties.-       Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction.-       Develop representations and embeddings for complex molecular geometries and spatial relationships.-       Work with large-scale datasets containing structural and coordinate-based molecular information.Technical Leadership- Contribute to the design of scalable pipelines for training models on large structural datasets.- Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints.- Collaborate with engineers to ensure efficient training, inference, and integration of models into internal platforms.Research & Strategy- Stay up to date with advances in protein design, molecular ML, and geometric deep learning.- Evaluate emerging methods (All-atom diffusion models, graph networks, multimodal foundation models).- Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. General Requirements:  I.              Education PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field.II.           Experience and Skills  Technical background-       Strong experience developing machine learning models operating on 3D spatial or geometric data, such as:o   diffusion-based generative modelso   graph neural networkso   equivariant neural networks (SE(3)/SO(3))o   transformer-based architectures applied to structured data-       Proficiency with PyTorch.Domain Expertise-       Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems.-       Experience working with coordinate-based structural datasets and molecular data formats.Engineering Skills-       Experience with distributed training, model optimization, and high-performance compute environments.-       Strong software engineering practices (Git, testing, reproducibility).Preferred Qualifications-       Familiarity with modern machine learning approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold or related frameworks.-       Exposure to emerging structure-aware generative or modelling architectures in scientific machine learning.-       Experience with open-source research systems used in structural modelling pipelines (e.g., Boltz or similar tools).-       Background in computational chemistry, structural biophysics, or molecular simulation.-       Experience developing geometry-aware or constraint-aware machine learning models.-       Contributions to open-source machine learning or scientific computing projects. Show more Show less

Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others.SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others.We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world.Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations. In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks.We are looking for a Applied AI Engineer who wants to build real AI systems used by hundreds of thousands of users.This is not a research-only role. You will work on shipping AI capabilities to production, building systems around LLMs, generative models, and multimodal AI, and turning cutting-edge AI technology into real product functionality.We’re looking for someone who enjoys solving hard engineering problems, experimenting with modern AI systems, and quickly turning ideas into working features.If you like working close to the product, moving fast, and seeing your AI systems used by real users at scale, this role is for you.Your Main Tasks Will BeBuild and ship AI-powered product features using LLMs and generative modelsDevelop and maintain services and APIs around ML modelsWork with prompt engineering and model behavior tuning Integrate AI models into production systems and user-facing applications Work with multimodal systems (text and image generation) Improve AI quality, safety, and reliability in production Collaborate closely with engineering, product, and design teams Run experiments and iterate quickly based on real user feedback and metrics Optimize performance, latency, and scalability of AI systemsWe Expect From YouStrong Python development skills Experience working with LLMs or generative AI systems in production Experience building APIs, services, or infrastructure around ML models Solid understanding of machine learning fundamentals Experience integrating AI into real products, not just experiments Familiarity with fine-tuning approaches (LoRA / SFT) is a plus Experience with multimodal or diffusion models is a plus Ability to take end-to-end ownership of solutions Strong problem-solving skills and ability to operate in a fast-paced environment Ability to communicate effectively with both engineers and product teams What Do We OfferREMOTE OPPORTUNITY to work full time;Vacation 28 calendar days per year;7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;Bonuses up to $5000 for recommending successful applicants for positions in the company;50% payment for professional training, international conferences and meetings;Corporate discount for English lessons; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now! Show more Show less

SynopsisOps Research Specialist/Data Scientist that will contribute to the digital transformation process of Etihad's Revenue Management area to transform it into a competitive advantage for the company. Implement data science models in areas of pricing, forecasting and optimization to drive incremental revenues and improve efficiency. Research and assess cutting edge technologies/models applied in the RM space and contribute to proof of concepts implementation. Responsible for implementation of new code releases of RM related systems and monitor the overall usage of the systems for effective usage.AccountabilitiesDrive revenue and automation by developing advanced analytical models (descriptive, diagnostic, predictive, prescriptive) and deploying them in the Pricing & RM ecosystem.Develop and maintain calibration of pricing models, forecasting, and optimization parameters in Revenue Management systems for better forecast accuracy and effective O&D controls.Develop and maintain revenue integrity business processes to identify and cancel PNRs for inventory violations and raise agent debit memos as per the Etihad’s policy. Co-develop and steer DIH / T&I system developments.Monitor the revenue benefits of the Revenue Management solutions and provide monthly reports on revenue improvements and actionable insights.Research on ways to enhance inventory functionalities in areas of availability calculation, reduce revenue dilution by enhancing or developing new Revenue Integrity processes, and availability troubleshooting diagnostics.Manage user acceptance testing of new systems and upgrades of existing RM systems to ensure delivery of requirements as per the business needs without severity one or two defects. Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases of RM systems. Education & ExperienceBachelor’s degree Computer Science, Engineering, Statistics, Operations Research or Economics.Professional with deep analytical skills with an innovative and entrepreneurial mindset2 to 3 years of relevant experience in designing, implementing, and maintaining Operations Research and/or Data Science models used in commercial/operational processes. Experience within the aviation industry in the areas of Revenue Management, Business Analytics would be preferred.Experience in the usage of data science programming languages (R, Python) and cloud-based data warehouse (Azure synapse analytics, Google Big query, Snowflake).Desirable: Experience in Dev-Ops and ML-Ops methodologies and tools.Desirable: experience in digital or analytics related roles in the airline industry.About Etihad AirwaysEtihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world’s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad’s codeshare partners, Etihad’s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad’s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!To learn more, visit etihad.comRecruitment Fraud AlertBeware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent. Show more Show less

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role:Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute. You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.  Responsibilities:Analysis of new models from generative AI field and understanding of impacts on compilation stackDevelop and maintain model definition framework that consists of model building blocks to represent large language models based on PyTorch and Cerebras dialects ready to be deployed on Cerebras hardware.Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis.Collaboration with other teams throughout feature implementationResearch on new methods for model optimization to improve Cerebras inference Qualifications:Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional abilityStrong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo).Solid understanding of computational graphs, tensor operations, and model tracing.Experience building or extending compilers, interpreters, or ML graph optimization frameworks.Experience working with PyTorch and HuggingFace Transformers libraryKnowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)Strong C++ programming skills.Knowledge of MLIR based compilation stackPreferred QualificationsPrior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX RT, or similar compiler stacks.Knowledge of hardware accelerators, quantization, or runtime scheduling.Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs).Understanding of numerical precision trade-offs and operator lowering.Contributions to open-source ML compiler projects.    Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2026.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice. Show more Show less

Design and build advanced AI systems and full-stack platforms for applications.Develop scalable software, utilising LLMs and internal frameworks.About Our ClientA leading organisation expanding its AI and software engineering teams to build scalable technology solutions.Job DescriptionArchitect, develop, and deploy React and Python-based platforms with integrated AI capabilities.Identify, scope, and propose opportunities for leveraging AI/ML and generative AI to deliver tangible business value.Embed LLMs, agentic frameworks, and AI coding tools into software solutions.Implement evaluation frameworks to ensure consistent model reliability.Ensure compliance with privacy, security standards, and ethical AI practices.The Successful ApplicantFull-stack experience across React and Python.Clear understanding of engineering fundamentals with clean, scalable code and advanced GitHub usage.Hands-on with LLMs, Claude, Cursor, Codex, LangChain, LangGraph, RAG, LlamaIndex, Instructor.Familiarity with CI/CD, cloud environments, and ethical AI practices.Previous experience of building AI integrated applications, with evidential contributions of coding within open-source projects.Proactive and adaptable, with strong initiative and a commitment to continuous learning.What's On OfferWork on cutting-edge AI projects with global teams.Competitive compensation and benefits.ContactManpreet KaurQuote job refJN-122025-6906157 Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less