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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

About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

ABOUT GYMNATIONGymNation is a Dubai-based chain of large-format fitness centers founded in 2017, operating over 20 locations across the UAE and Saudi Arabia. As we continue to expand, we're looking for exceptional talent to grow with us and help bring the unmistakable GymNation energy to members across the region.THE ROLEGymNation is expanding our team and looking for an AI/ML Engineer who is eager to join our growing team of passionate people. You'll work on production AI systems that directly touch our members and staff — from in-house voice hardware to conversational agents and retrieval-augmented generation pipelines — turning cutting-edge machine learning into tools that actually ship.KEY RESPONSIBILITIESCONVERSATIONAL AI & VOICEIntegrate speech-to-text, language-model reasoning, and text-to-speech capabilities into our in-house voice hardware, handling practical issues and tracking real-world performanceMaintain and enhance advanced conversational agents across web, mobile, and voice-based platformsRAG & MACHINE LEARNING SYSTEMSDevelop and deploy production-ready Retrieval-Augmented Generation (RAG) systems, including building FAISS-based vector stores, generating embeddings, and optimizing prompts for latency and accuracyPrepare datasets, train and validate models (using tools like scikit-learn or XGBoost), manage experiments, containerize applications with Docker, and deploy to staging and production environments via CI/CD pipelinesAPI DEVELOPMENT & ENGINEERING PRACTICESDesign and extend RESTful APIs using FastAPI, incorporating features like authentication, rate-limiting, versioning, and structured loggingEnsure high code quality by writing clear tests, participating in code reviews, and collaborating closely with teammates and technical leadershipThe duties and responsibilities listed are not exhaustive and may be reasonably amended as business requirements evolve.WHAT YOU'LL BRINGREQUIREMENTSBachelor's degree in Computer Science, Software Engineering, or a closely related technical fieldProficiency in Python; comfortable writing clean, maintainable, and tested codePractical knowledge of Python's data and ML ecosystem: NumPy, pandas, scikit-learn, and deep-learning frameworks such as PyTorch or TensorFlowFamiliarity with standard software development tools, including Git, Docker, and basic Continuous Integration and Deployment (CI/CD) practicesProject-based experience developing at least one RESTful API and one complete machine learning workflow from data preparation through model deploymentExcellent communication skills and a collaborative mindset; comfortable giving and receiving feedback in a fast-paced technical team PREFERREDExposure to frameworks and libraries such as LangChain, LlamaIndex, or related generative AI toolingExperience or familiarity with vector databases (FAISS, Pinecone, Chroma)Basic understanding of generative AI models and their practical applicationsFamiliarity with developing real-time or asynchronous applications (asyncio, WebSockets)Familiarity with building gradient-boosting algorithms (XGBoost, CatBoost, LightGBM)Participation in internships, hackathons, or projects involving conversational interfaces or real-time systemsWHAT WE OFFERCompetitive salary GymNation all-access membership & wellness stipend30 calendar days paid vacation

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.

Role: Principal AI/ML EngineerSalary: DOELocation: Abu Dhabi HQ - Hybrid ModelFor international candidates open to relocation, support is availableRole OverviewWe are looking for a Principal AI/ML Engineer to provide technical leadership across the design, development, deployment and continuous improvement of enterprise-grade AI and machine learning solutions.The Principal AI/ML Engineer will work closely with data scientists, software engineers, cloud engineers, architects, product teams and senior stakeholders to translate complex business problems into scalable, secure and measurable AI/ML solutions. The role will also play a key part in mentoring engineers, improving delivery practices, and embedding responsible AI and robust engineering principles across projects.Key Responsibilities:Lead the design, development and deployment of scalable AI/ML solutions, taking ownership of the full lifecycle from discovery and experimentation through to production delivery and continuous improvement.Define and govern AI/ML architecture, engineering standards and best practices, ensuring solutions are secure, maintainable, cost-effective and aligned with wider business and technology strategies.Design, build and optimise machine learning, deep learning and generative AI solutions, selecting the most appropriate tools, frameworks and approaches to solve complex business challenges.Drive the adoption of MLOps practices, including CI/CD, model versioning, monitoring, observability, performance optimisation and lifecycle management.Collaborate closely with business stakeholders, product teams, architects, data engineers and software engineers to translate requirements into practical AI-driven solutions that deliver measurable value.Provide technical leadership and mentorship to engineers, supporting capability development, design reviews, knowledge sharing and the adoption of engineering best practices.Lead technical discovery activities, proof-of-concepts and architecture assessments, helping shape AI strategy and identify opportunities where AI can improve business outcomes.Ensure robust documentation, governance and responsible AI principles are embedded throughout the delivery lifecycle, supporting transparency, compliance and operational excellence.Stay current with emerging AI technologies, frameworks and industry trends, evaluating their potential application and guiding the organisation's adoption of new capabilitiesRequired Experience:Extensive experience delivering AI/ML solutions in production environments.Strong Python expertise and experience with frameworks such as PyTorch, TensorFlow and Scikit-learn.Deep understanding of machine learning, deep learning and Generative AI technologies.Experience with Azure, AWS or GCP.Strong knowledge of MLOps, CI/CD, testing and software engineering best practices.Proven experience leading technical teams and influencing architecture decisions.

Role: AI Research Scientist (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: $600K - $2000K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Frontier AI to work on a full-time basis. The role involves advancing cutting-edge AI models and infrastructure to push the boundaries of machine learning capabilities. Responsibilities span algorithmic research, system design, and implementation of next-generation AI solutions. Candidates must demonstrate deep technical expertise in AI/ML systems and architectures.Key Responsibilities:• Lead research and development of frontier AI models, focusing on scalability and efficiency.• Design and optimize large-scale AI training and inference systems.• Collaborate with cross-functional teams to integrate AI models into production environments.• Evaluate and benchmark emerging AI techniques against state-of-the-art baselines.• Publish findings and contribute to the broader AI research community.Required Skills & Qualifications:• Strong background in machine learning, deep learning, or related fields.• Experience with large-scale distributed systems and cloud infrastructure.• Proficiency in Python and frameworks such as PyTorch or TensorFlow.• Familiarity with GPU/TPU acceleration and high-performance computing.• Ability to design and implement novel algorithms for AI model training and inference.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges at the forefront of AI innovation.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!