Your AI career in the UAE starts here

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're Hiring: AI/ML Security Specialist (Freelance)📍 Dubai, UAE (On-site)🏢 ITSEC LLC-FZDepartment: Offensive Security / VAPTReports to: Head of Penetration Testing-Role SummaryWe're looking for an AI/ML Security Specialist to lead adversarial security testing of AI and machine-learning systems—from LLM applications and generative AI products to traditional ML pipelines. You'll identify how AI systems can be manipulated, leaked, or compromised, and deliver evidence-based findings with practical remediation guidance.-Key Responsibilities▪️ Conduct AI red-teaming engagements for LLMs, generative AI, and ML-driven systems.▪️ Test against the OWASP Top 10 for LLM Applications, including prompt injection, data leakage, insecure output handling, excessive agency, and model DoS.▪️ Assess jailbreaks, guardrail bypasses, safety-filter evasion, and hallucinations.▪️ Evaluate AI attack surfaces including APIs, RAG, embeddings, data ingestion, model integrations, and cloud hosting.▪️ Assess privacy risks involving prompts, logs, caches, embeddings, and third-party services.▪️ Evaluate ML pipeline security, including data poisoning, model theft, adversarial inputs, and supply-chain risks.▪️ Produce technical reports with PoCs, business impact, severity ratings, and remediation guidance.▪️ Collaborate with web, API, network, and cloud security teams.▪️ Continuously improve AI security methodologies and tooling.-Required Qualifications▪️ Hands-on experience testing or red-teaming LLM and generative AI systems.▪️ Strong knowledge of the OWASP LLM Top 10 and prompt injection techniques.▪️ Understanding of ML pipelines, inference, embeddings, fine-tuning, and RAG.▪️ Strong application & API security fundamentals.▪️ Python scripting skills.▪️ Excellent technical reporting and communication skills.Mandatory certification: OSCP, OSWE, CREST (CRT/CCT), GWAPT, GPEN, or eWPTX.-Highly Desirable▪️ OSAI, CAISP, or COASP.▪️ CRTP, OSTP, OSWE, AWS Security, or Azure Security certifications.▪️ Experience with Secure SDLC, DevSecOps, cloud-native security, AI red-teaming tools (Garak, PyRIT), NIST AI RMF, ISO/IEC 42001, AWS/Azure/GCP, container security, multimodal AI, and regulated industries.

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

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.

Who we are GIG Gulf is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 13 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financia Holding, a global leader in insurance and reinsurance with a presence in 40 markets.GIG Gulf is an ‘A’ rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region’s digital insurer of reference, committed to running our operations in a responsible, sustainable way.Job purpose:Are you passionate about turning Artificial Intelligence from experimentation into measurable business value?As an AI Engineer, you will play a hands-on role in designing, building, deploying, and operating enterprise-grade AI solutions that support GIG Gulf's AI Adoption agenda. You will work closely with technology teams, data professionals, security teams, and external partners to create AI-enabled products, intelligent automation capabilities, GenAI solutions, AI agents, and decision-support systems that are secure, scalable, compliant, and production-ready.The role supports bridging the gap between AI innovation and business outcomes by developing solutions that improve customer experience, operational efficiency, employee productivity, risk management, and decision-making across the organizationAs a AI Engineer, you will work closely with business and IT stakeholders to:develop and evolve business AI solutions lead pilots, POCs and exploration of new innovative solutions, practices and patternsdesign and deliver cloud‑based and AI‑enabled solutions that are secure, scalable, and fit for purposeactively contribute to the organization’s AI delivery priorities, ensuring alignment with business outcomes, regulatory requirements, and operational realitiesKey Responsibilities:In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:AI EnablementWork with architecture, data, and business teams to translate business problems into AI-enabled solutions.Assist in evaluating emerging AI technologies, frameworks, platforms, and vendor offerings.Promote reuse of enterprise AI capabilities, patterns, and shared services.AI Solution EngineeringDesign and develop AI, GenAI, and Agentic AI solutions.Build intelligent applications leveraging LLMs, SLMs, AI Agents, RAG architectures, and enterprise AI platforms.Develop AI-enabled workflows, copilots, chatbots, search experiences, document intelligence solutions, and automation use cases.Create reusable AI components, accelerators, and development standards.Implement retrieval architectures using vector databases, embedding models, and knowledge repositories.Ensure AI solutions leverage approved and governed enterprise data sources.Collaborate with Data Architecture and Integration teams to establish scalable AI foundations.AI Operations (LLMOps / MLOps)Deploy AI workloads using enterprise cloud platforms including Azure and AWS. Establish automated DevOps processes. Monitor model performance and support lifecycle management, versioning, evaluation, and continuous improvement. Governance, Security & Responsible AIEnsure compliance with enterprise AI governance frameworks and policies.Embed security, auditability and accountability controls into AI solutions.Implement safeguards against prompt injections, data leakage, model abuse and adversarial attacks.Innovation & Continuous ImprovementLead pilots, proofs of concept, and experimentation initiatives for emerging AI technologies.Assess new AI capabilities and provide recommendations based on business value and risk.Contribute to development of AI engineering standards, frameworks, and reusable assets.Stay current on advancements in GenAI, Agentic AI, LLMs, foundation models, AI infrastructure, and industry trends.Operational & Technical Responsibilities:AI EngineeringFunction as an active hands-on AI Engineer for enterprise and business initiatives:Develop AI solutions using Python, low code application development and modern AI frameworks.Build and optimize prompts, workflows, orchestration layers, and agent behaviors.Develop solutions leveraging approved AI services (e.g. OpenAI, Azure AI, AWS AI, Anthropic, Google).Implement semantic search, retrieval augmentation, knowledge grounding, and contextual reasoning solutions.Generative AI & Agentic AI SolutionsDesign and implement enterprise-grade GenAI solutions including:Retrieval Augmented Generation (RAG)AI copilots and assistantsMulti-agent workflowsEnterprise knowledge searchIntelligent document processingAutomation and decision-support systemsHuman-in-the-loop AI workflowsQuality, Testing & EvaluationStructured testing of AI outputs, hallucination management, and response quality controls.Continuously improve model performance and user experience.Knowledge Management & DocumentationMaintain technical documentation, architecture diagrams, model cards, and operational procedures.Business / Domain knowledge requirements (desirable)Understanding of regulatory considerations affecting AI deployment in financial services and insurance. Familiarity with data privacy, residency, and compliance requirements within UAE and GCC markets. Basic knowledge of the insurance businessRole Requirements:Bachelor of Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or related discipline.Microsoft Azure AI Engineer AssociateAWS Certified Machine Learning Engineer / Specialty3-5 years of experience in software engineering, cloud engineering, machine learning, Automation or AI.1 - 2 years of hands-on experience implementing AI or ML solutions.Experience building and deploying cloud-native applications or automations.Demonstrated experience delivering business-focused technology solutions.AI EngineeringAbility to design, develop, deploy, monitor, and operate production-grade AI solutions.Python Development and automationAbility to build scalable AI applications and integrations.Generative AIExperience with:LLM such as Anthropic Claude, OpenAI, Google Gemini, Azure OpenAIAgent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, AWS Agentcore, Google ADK, Microsoft Agent FrameworkRAG and retrieval: vector databases (such as Pinecone, pgvector, Qdrant), semantic search and embeddingsWorkflow orchestration, automation and/or other intelligent automation toolingPrompt EngineeringCloud Engineering and hands-on experience using Azure and/or AWS for AI workloads, cross-cloud deployment, IaC (such as Terraform, Pulumi), CI/CD pipelinesAI EngineeringAbility to design, develop, deploy, monitor, and operate production-grade AI solutions.Python Development and automationAbility to build scalable AI applications and integrations.Generative AIExperience with:LLM such as Anthropic Claude, OpenAI, Google Gemini, Azure OpenAIAgent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, AWS Agentcore, Google ADK, Microsoft Agent FrameworkRAG and retrieval: vector databases (such as Pinecone, pgvector, Qdrant), semantic search and embeddingsWorkflow orchestration, automation and/or other intelligent automation toolingPrompt EngineeringCloud Engineering and hands-on experience using Azure and/or AWS for AI workloads, cross-cloud deployment, IaC (such as Terraform, Pulumi), CI/CD pipelinesCollaborationGood stakeholder management skills across business, IT, and control functionsAbility to communicate technical topics clearly Comfortable working in a high‑demand, delivery‑oriented environmentCommunication and Soft SkillsExcellent communication skills in English, both verbal and writtenTeam player – ability to work with a team and influence a positive collaborative culture Ability to prioritize workload appropriately based on the impact on the businessDemonstrated ability to work independently while efficiently managing multiple projects simultaneously.