Job Title: AI Engineer (1-year Fixed Term Contract) Company: NEUTRON PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: About the role As an AI Engineer, you will use Generative AI techniques complemented with data science modelling to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate user needs into technical requirements, and deliver AI and Machine Learning solutions that drive measurable outcomes. Key responsibilities Proposing and developing solutions using data science and/or Generative AI techniques to drive business value Developing backend APIs and services to support AI model deployment and integration Reviewing and implementing fixes for reported security vulnerabilities Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG), including Knowledge of vector databases and embedding techniques Work Location: Bukit Merah Estate, Singapore Availability: Full time

Job Title: Data Scientist, APAC Company: IG Group Job Category: Machine Learning Roles & Responsibilities: This role sits within the APAC Data and Analytics team, reporting into the Head of Data and Analytics, APAC. The team acts as the analytical backbone for the region, partnering closely with commercial, marketing and finance stakeholders across all APAC markets to embed data\-driven decision\-making. This is an individual contributor role with no direct reports. Your role in the Team’s Success: * Build and maintain customer lifetime value (LTV) models that inform commercial investment decisions across Singapore, Australia, Japan and Emerging Markets. * Design churn and conversion prediction models to support marketing and commercial teams in targeting and retention strategies. * Apply clustering and classification techniques to segment customers and surface actionable behavioural patterns. * Develop sentiment analysis capabilities that turn customer feedback into structured insight for commercial and product stakeholders. * Partner with commercial, marketing and finance teams across APAC to translate business questions into analytical solutions. * Present findings and recommendations clearly to non\-technical stakeholders, influencing decisions at pace. * Own the end\-to\-end data science lifecycle, from problem framing and data extraction through to model deployment and monitoring. Work Location: Singapore, Singapore Availability: Full time

Job Title: LLM Pre-training Engineer Company: KUAILU Software (Singapore) Job Category: Machine Learning Roles & Responsibilities: Job Responsibilities * Pre\-training Strategy \& Architecture * Pre\-training Data Engineering * Large\-scale Distributed Training * Long\-context Training * Training Monitoring \& Optimization * Evaluation \& Iterative Optimization * Additional leave * Food provided * Health insurance * Professional development Work Location: In person Work Location: Geylang Serai, Singapore Availability: Full time

Job Title: Intern (Throughput Business) Company: Singapore LNG Corporation Pte Ltd Job Category: Machine Learning Roles & Responsibilities: * Gain an understanding of the LNG value chain, Terminal Operations, Singapore's electricity market and energy trading. * Learn machine learning and optimisation models on real LNG and power market data, and see how models shape planning decisions for a critical part of Singapore's energy infrastructure. * Develop automated data pipelines and production\-grade software using industry engineering practices. * Explore how LLMs and AI workflows are used in real analytics and engineering projects. * Turn analysis into business insights and present them to management and cross\-functional teams. * Strengthen teamwork, problem\-solving skills and an innovative mindset in a fast\-paced environment. Work Location: Bukit Merah Estate, Singapore Availability: Full time

Job Title: Equity Execution Advisory Services Company: Citi Job Category: Machine Learning Roles & Responsibilities: To be an integral part of the Execution Advisory Services team within APAC Cash Equity Execution business. The director level sales trader is a senior\-level position responsible for supporting and developing our Execution Product performance analysis service and Execution Platform Sales development for APAC region. The individual will partner with coverage and sales teams to drive business growth of priority client accounts. Responsibilities: * Work directly with clients and internal stakeholders (MQA, Product, Sales Coverage) to implement customized algorithmic trading solutions. * Providing Algo Execution \& Liquidity product (Citi Smart algos, Dark pool, Central risk book, Swap Internalization) performance analysis and research to top 50 clients across Cash \& Prime. * Design, implement, and optimize trading solutions that directly contribute to improving Citi’s execution performance, resulting in better ranking in broker review, thereby driving monetization across execution channels. * Content publication on important Equity Trading related topics to engage \& capture client mind share and improve marketing of Citi’s execution products * Develop execution consulting analytics and models. Use available toolkit and product to deliver client requests as well as assist to create new product development. * Develop relationship with client traders and quant decision makers to understand client execution needs and deepen the business partnership. * Apply the above\-mentioned skill sets and expertise to support the requirements gathering, data analysis, and idea presentation needed to support successful client Algo Wheel implementations. Work Location: Singapore, Singapore Availability: Full time

Job Title: Lead, Technology Audit Company: Nanyang Technological University Job Category: Machine Learning Roles & Responsibilities: The Lead, Technology Audit is responsible for leading and developing NTU's Information Technology audit capability and providing independent assurance to the Audit \& Risk Committee and senior management on the effectiveness of IT governance, cybersecurity, technology risk management, data governance, digital transformation initiatives, and IT controls across the University. Key Responsibilities * Develop and maintain the annual risk\-based technology audit plan aligned with strategic, operational and cybersecurity risks. * Build and lead NTU's technology audit capability, methodologies, tools and analytics. * Lead audits covering IT governance, cybersecurity, infrastructure, cloud, enterprise applications, data governance and digital transformation. * Assess identity and access management, Active Directory, privileged access, incident response, vulnerability management, business continuity and disaster recovery controls. * Review major technology projects and enterprise systems. * Audit AI, machine learning, and advanced analytics initiatives where applicable. * Utilize data analytics and continuous auditing techniques to enhance audit effectiveness and promote the use of technology\-enabled auditing across Internal Audit. * Assess technology risks supporting research activities, laboratories, high\-performance computing environments, and research data management. * Build strong working relationships with CIO and the IT leadership team. Present audit findings and key technology risks to senior management and the Audit \& Risk Committee. * People Management Responsibilities * Lead and coach technology auditors and co\-sourced specialists. * Develop technical competencies within Internal Audit. Manage external consultants and subject matter experts. * * Minimum 12–15 years of IT audit, cybersecurity or technology risk experience. * At least 5 years in a leadership role. Experience auditing complex technology environments and digital transformation initiatives. * * COBIT * NIST Cybersecurity Framework * ITIL * COSO * Cloud platforms (Azure, AWS, Google Cloud) ERP systems and Identity \& Access Management * * Strategic Thinking * Technology Risk Management * Cybersecurity Assurance * Executive Presence * Stakeholder Management Communication and Report Writing * * Robust risk\-based IT audit programme established and executed. * Material IT and cybersecurity risks independently assessed. Audit recommendations implemented and improving controls. * Work Location: Singapore Availability: Full time

Job Title: Digital Adoption & Change Manager – 12 months contract Company: PERSOL SINGAPORE PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: Digital Adoption \& Change Manager, you will lead the adoption of our One Corporate Portal, helping employees and suppliers transition from manual processes to seamless digital self\-service solutions. Key Responsibilities: Drive change management and user adoption initiatives. Develop engaging training and communication programs. Strong stakeholder management, communication, and training skills. For more information on how we collect, use, disclose and protect your personal data, please refer to our Privacy Policy: https://www.persolsingapore.com/policies.Ifyou wish to withdraw your consent, including consent relating to the use of your personal data for AI\-enabled recruitment activities and AI development activities, please email usat sg.dataprotection@persolapac.com. We combine human expertise with smart technology to help organisations solve workforce challenges, unlock potential, and stay ahead of change. From recruitment and talent management to workforce strategy and advisory, our collaborative approach puts your goals at the centre. Work Location: Outram Park, Singapore Availability: Full time

Job Title: AI Engineer — AMK Company: COMBUILDER PTE LTD Job Category: Machine Learning Roles & Responsibilities: Job Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, or similar frameworks. Develop and implement models for NLP, computer vision, time\-series forecasting, anomaly detection, and reinforcement learning. Research and implement state\-of\-the\-art AI algorithms and stay updated with the latest advancements in artificial intelligence. Ensure ethical, explainable, and responsible AI development. Develop AI solutions for robotics applications, including robotic perception, motion planning, autonomous systems, robot control, sensor fusion, and computer vision. Our company is involved in the design and development of large scale software systems since Year 1999, mainly for railway, MRT and MINDEF projects. We are the sub\-contractor and strategic partner of ST Electronics (Transport Business Unit, Large Scale Group) and ST Training \& Simulation. Work Location: Ang Mo Kio New Town, Singapore Availability: Full time

Job Title: Research Fellow (Oceanography / Sediment Dynamics / Ocean Engineering / Environmental Engineering) Company: Nanyang Technological University Job Category: Machine Learning Roles & Responsibilities: The work will involve developing and applying hydrodynamic and sediment transport models, conducting field measurements, quantifying erosion and deposition processes, predicting sediment pathways and budgets, and integrating multidisciplinary environmental datasets. Active participation in research will be encouraged, and support for publication and meeting/conference presentations can be available. Key Responsibilities: * Develop hydrodynamic and sediment transport models for fluvial\-marine systems, including river channels, intertidal mangrove and mudflat areas and adjacent subtidal environments. * Conduct and analyse field measurements of flow conditions, turbulence, seabed and water sedimentology and related environmental parameters in Singapore’s coastal and marine environments. * Quantify relationships between hydrodynamic intensity and sediment erosion/flux/deposition patterns using field measurements and modelling data. * Support the development of physics\-based models to predict sediment source\-to\-sink pathways and spatial variations in sediment erosion and accretion rates and capacities (sediment budget) in fluvial to shallow marine environments. * Integrate hydrodynamic/sediment transport modelling outputs with sedimentology, geochemistry, and other relevant datasets (eg satellite images) generated by the broader CFI project team. * Prepare technical reports, peer\-reviewed publications, presentations, and project deliverables. * Maintain efficient data collection to ensure accuracy and completeness of data and preparation of the Data Management Plan for annual submission Engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator * EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. Work Location: Singapore Availability: Full time

Job Title: AI R&D Intern - Inventory Optimisation Company: Digital Place Vision Pte Ltd Job Category: Machine Learning Roles & Responsibilities: Job Description As an R\&D intern at DPV, you will be a key contributor in developing a cutting\-edge inventory optimization system for one of Asia's largest retail chains, with over 25,000 stores. This is a highly focused role where you will work in the development of a predictive demand forecasting model and also build and tune the downstream constraint optimization engine that translates forecasts into actionable inventory decisions. This experience will provide valuable exposure to building successful, full\-stack AI/ML solutions in a high\-impact, real\-world setting. Key Responsibilities: Under the guidance of our data scientists, you will be involved in the full process of developing and deploying a machine learning\-powered system: * Predictive Modeling: Develop and evaluate advanced machine learning regression models for demand forecasting. * Optimization Engine Development: Design and implement the core constraint optimization logic, leveraging frameworks like Google OR\-TOols or similar solvers to balance inventory costs, service levels, and operational constraints across 25,000\+ stores. * Data Pipeline: Perform large\-scale dataset preparation, cleaning, and feature engineering on real\-world retail data. * Model Lifecycle: Conduct rigorous model training, evaluation, validation, and documentation for both the forecasting and optimization components. * Gain exposure to the full\-cycle considerations of an industrial AI/ML project, from experimentation to production readiness. Work Location: Singapore, Singapore Availability: Full time