Job Title: AI Engineer Company: VISTRA Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled and motivated AI Engineer to join our dynamic and innovative team. Reporting to the Engineering Lead, this full\-time and permanent position is based in Singapore. Key Responsibilities: * Fine\-tune and deploy machine learning models from initial research to production, ensuring scalability and performance for data extraction, parsing, and prediction in corporate secretarial and accounting use cases. * Distil large model behaviors to smaller custom designed multimodal models jointly processing image \+ text and train them manually. * Hand\-design custom AI pipelines comprising of various model types like neural nets, decision trees, rule\-based systems working together to achieve a common goal. * Mathematical Innovation for novel AI techniques \- we welcome original and first\-principles thinking. You will be encouraged to ideate out\-of\-box fundamental scientific solutions and given bandwidth to experiment. * Own the end\-to\-end ML pipeline (data processing, model fine\-tuning, testing, deployment, and continuous optimization), implementing MLOps best practices for reliability and scalability. * Architect, build, and maintain AI\-driven data pipelines for structured and unstructured document processing using AWS Bedrock and other AWS services, ensuring data governance, security, and quality across the data lifecycle. * Evaluate and implement AI\-driven automation solutions to streamline corporate compliance workflows, ensuring adherence to regulatory requirements in corporate secretarial and accounting processes. * Collaborate with cross\-functional teams to gather requirements, perform feature engineering, model tuning, and code reviews, ensuring production\-ready solutions. * Implement and maintain data governance, data security, and data quality measures throughout the data lifecycle. * Work closely with engineering teams to integrate AI\-driven functionalities into our products. * Participate in code reviews and provide technical expertise to ensure best practices in AI/data engineering. * Continuously research and evaluate emerging AI and data technologies to enhance solutions, tools, and processes, driving business value and innovation. Additionally, we provide comprehensive medical insurance and dental coverage, wellness allowance and competitive annual leave entitlement to support your well\-being and time to recharge or explore your passions out of work. Work Location: Singapore, Singapore Availability: Full time

Job Title: Artificial Intelligence Engineer Company: NCS Group Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time

Job Title: Senior AI Engineer (AISG-SAF AI Center) Company: National University of Singapore Job Category: Machine Learning Roles & Responsibilities: Faculty/Department\-Level Unit: AI Singapore Job Description AISG is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF). AISG brings together Singapore\-based research institutions and the broader ecosystem of AI start\-ups and companies to support impactful research, develop talent and power Singapore's AI efforts. Duties \& Responsibilities In this role, you will: Department : AI Singapore Work Location: Singapore, 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: Nanyang Avenue, S00, Singapore Availability: Full time

Job Title: Data Engineer - Snowflake / Apache Iceberg / Python Company: Cognizant Job Category: Machine Learning Roles & Responsibilities: Job Responsibilities * Design, develop, and implement scalable data engineering solutions to support PIPL program requirements. * Build and maintain end\-to\-end ETL/ELT pipelines using Python, SQL, and modern data engineering frameworks. * Develop and manage data lakehouse architectures using Apache Iceberg and Snowflake. * Create and support a dedicated China data environment on Alibaba Cloud (AliCloud) for data processing, analytics, machine learning, and reporting workloads. * Automate data ingestion, transformation, validation, and reporting processes to improve operational efficiency. * Optimize data pipelines, storage, and query performance to ensure scalability and reliability. * Collaborate with architects, program leads, and business stakeholders to gather requirements and deliver data solutions. * Ensure data quality, governance, security, and compliance with PIPL and enterprise standards. * Monitor, troubleshoot, and resolve data platform and pipeline issues. * Contribute to best practices in DataOps, CI/CD, automation, and cloud\-native data engineering. Apache Iceberg, Snowflake, Python, SQL, ETL/ELT Development, Data Engineering, Alibaba Cloud (preferred), Data Lakehouse Architecture Work Location: Singapore, S00, Singapore Availability: Full time

Job Title: Senior LLM / Multimodal AI Engineer Company: NCS Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time

Job Title: Senior LLM / Multimodal AI Engineer Company: DataSpark Pte Ltd Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, S00, Singapore Availability: Full time

Job Title: Senior Data Engineer (1 Year Contract) Company: RHINO PARTNERS PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: In this role, you will design, develop, and maintain scalable data platforms, pipelines, and integration solutions that support complex enterprise data requirements. You will work closely with cross\-functional teams to deliver reliable, secure, and high\-performing data solutions while driving DataOps best practices and continuous improvements. Key Responsibilities Data Engineering \& Platform Development Design, develop, and maintain scalable, reliable, and maintainable data platforms and architectures. Build and optimise ETL/ELT pipelines to support data ingestion, transformation, processing, and integration. Develop and implement data models, including OLTP, OLAP, and dimensional modelling, to support complex business requirements. Implement data integration solutions using APIs, data streaming, Change Data Capture (CDC), and message queues. Work with cloud\-based data platforms, data lakes, and big data technologies to support enterprise\-scale data processing. Implement and enhance DataOps practices, including CI/CD pipelines, automated deployments, workflow monitoring, and data observability. Troubleshoot complex data engineering issues, identify root causes, and implement sustainable solutions. Proactively refactor existing solutions and address technical debt to improve system maintainability. Take ownership of data engineering initiatives from solution design through implementation, testing, and deployment. Collaborate with application developers, architects, infrastructure teams, and business stakeholders to deliver integrated solutions. Understanding of data governance, security, privacy, and data quality management. Good communication and stakeholder management skills, with the ability to work independently and collaborate across teams. Exposure to machine learning, Large Language Models (LLMs), prompt engineering, or AI application development. Work Location: Bukit Timah, S00, Singapore Availability: Full time

Job Title: AI Harness Engineering Product Manager Company: ATOMMEDIA PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: This is a new breed of role — sitting at the intersection of product management and agentic engineering. You will define, build, and own the harness layer that makes AI agents actually work in our suite of advertising products. The harness is everything between the model and the user: the infrastructure, connectors, evaluation systems, and feedback loops that determine whether our agents are reliable, useful, and safe. You are not a traditional PM who hands specs to engineers, nor a pure engineer who ships features without a user lens. You are both — with a deep enough technical foundation to get your hands dirty, and a sharp enough product instinct to know what matters. This is a greenfield function. There is no existing playbook, no inherited team structure. The right person sees that as the opportunity, not the risk. Key responsibilities Build and maintain integrations to internal systems (e.g. Slack, Hubspot, Google Drive, codebases), managing access permissions and ensuring integrations do not decay over time. Own the reliability of the agent’s ability to act in our environment. Develop evaluation pipelines and benchmarking systems to measure agent performance, reliability, and safety in both production and simulated environments. Define what “the agent is genuinely helping more people in more scenarios” means — and own the metrics that prove it. — full\-stack or platform engineering preferred. ML/LLM model training is not the target profile for this role. Product instinct developed through Genuine enthusiasm for agentic AI as the future of how products are built — ambivalence about AI\-assisted development is a disqualifier. Personal tinkering or side projects with AI tooling is a strong signal. Work Location: Singapore, S00, 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: Nanyang Avenue, S00, Singapore Availability: Full time