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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.

Hiring: Senior AI Forward Deployed EngineerLocation: Dubai, UAE (Hybrid)Experience: 6+ YearsWe are looking for a Senior AI Forward Deployed Engineer to join an innovative AI team. In this role, you'll work directly with operational teams across ports, logistics, trade, and economic zones to design, build, and deploy cutting-edge AI solutions that create measurable business impact.What You'll DoPartner with business and operational teams to solve complex problems using AI.Design and deploy production-ready LLM and Agentic AI applications.Build AI accelerators, reusable components, and internal frameworks.Establish MLOps/AIOps best practices, including CI/CD, monitoring, evaluation, and model governance.Lead cross-functional delivery teams and drive AI initiatives from concept to production.Optimize AI systems for quality, performance, security, scalability, and cost.Required Skills6+ years of software engineering experience with recent hands-on AI delivery.Strong expertise in Python and modern software engineering practices.Experience building production LLM, RAG, and Agentic AI solutions.Hands-on experience with MLOps, CI/CD pipelines, model deployment, monitoring, and evaluation.Strong understanding of AI evaluation, prompt engineering, and production optimization.Ability to engage with business stakeholders and translate operational challenges into AI solutions.Experience leading technical initiatives and influencing cross-functional teams.📩 Interested candidates can share their updated CVs with: kajal.samiulla@dautom.com

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.

IC Markets Global is one of the most renowned Forex CFD provider, offering trading solutions for active day traders and scalpers as well as traders that are new to the forex market. IC Markets Global offers its clients cutting edge trading platforms, low latency connectivity and superior liquidity.IC Markets Global is revolutionizing online forex trading. Traders are now able to gain access to pricing previously only available to investment banks and high net worth individuals.Our management team have significant experience in the Forex, CFD and Equity markets in Asia, Europe and North America. It is this experience that has enabled us to select the best possible technology solutions and hand pick some of the best pricing providers available in the market.About the RoleWe are seeking a skilled and experienced AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying production-grade AI systems and intelligent agent pipelines. You will work at the intersection of software engineering and applied artificial intelligence, building scalable, reliable, and high-performance solutions.Key ResponsibilitiesDesign and deploy production-ready Python services powering AI capabilities, leveraging FastAPI for robust API development.Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval use cases.Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing.Integrate and optimize vector databases (Qdrant, Milvus, etc.) for embeddings management, high-speed lookups, and hybrid search functionality.Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production environments.Optimize agent systems for reduced latency, cost efficiency, and horizontal scalability.Required Qualifications3+ years of total software engineering experience, with a strong foundation in backend development using Python.1–2+ years of hands-on experience deploying and maintaining ML/AI systems in production environments (beyond research or proof-of-concept stages).Demonstrated proficiency in Python and software engineering best practices, with a focus on clean, maintainable, and production-quality code.Solid experience with NLP, Retrieval-Augmented Generation (RAG), embeddings, and vector databases such as Qdrant and Milvus.Deep expertise in LangChain and/or LlamaIndex for building agentic AI systems.Strong experience with Langsmith, understanding Evaluation Benchmarking and TracingProven experience in prompt engineering and systematic agent testing methodologies.Strong understanding of LLM inference pipelines, both on local infrastructure and cloud platforms.Proficiency with Docker and cloud platforms (AWS, GCP, or Azure).Demonstrated ability to design clean, well-documented APIs and integrate seamlessly with existing backend systems using a microservices architecture.

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!