Top Machine Learning Jobs in Singapore

Conduct research on membrane and separation technology for desalination and resource recovery, assist in project design and modeling, and publish findings.

Conduct spatial ecological analyses and develop species distribution and occupancy models using ecological survey, remote sensing, LiDAR, and environmental datasets. Build biodiversity indicators and geospatial decision-support tools, collaborate with government and industry partners, and support ecological modelling, spatial analysis, and biodiversity science projects.

Design, develop, and deploy predictive and generative AI models; analyze large datasets; build GenAI-powered applications and reusable AI services; create data visualizations; collaborate with stakeholders to drive business decisions and keep abreast of ML and generative AI advances.

Sell Agentforce and Data 360 solutions by identifying and qualifying opportunities, conducting technical discovery, mapping customer needs to Salesforce AI and data capabilities, creating POVs, collaborating with account teams, and driving revenue through technical, enterprise B2B sales.

As a Solutions Architect at CoreWeave, you'll lead the technical relationship with customers to optimize AI workloads on cloud infrastructure, focusing on Kubernetes and HPC environments.

Lead operational excellence for AI applications in a banking environment by managing lifecycle, evaluating performance, and ensuring compliance. Collaborate with teams to enhance agent-driven solutions and optimize prompt tuning for generative models.

Lead AI strategy and commercial engagements for enterprise clients. Act as C-suite advisor, drive AI adoption, presales, solution design, and revenue growth. Develop AI use cases, PoCs, LLM/Generative AI solutions, partnerships, and go-to-market strategies while collaborating with product, engineering, and delivery teams and mentoring internal teams.

Lead planning, coordination, and delivery of clinical document translations. Manage vendors, stakeholders, budgets, timelines, and quality controls. Implement and evaluate AI-enabled translation tools and oversee SME post-editing to ensure regulatory-compliant, high-quality translations for clinical documents.

Lead APAC partner ecosystem (GSIs, OEMs, acquirers, processors, hyperscalers, ISVs) to drive partner strategy, recruitment, enablement, joint GTM, partner-sourced revenue, KPI reporting, and joint marketing initiatives.

Entry-level manufacturing engineer supporting design, development, and optimization of manufacturing processes and equipment in medical device production. Tasks include process improvement, data collection and analysis, dashboard/reporting development (Power BI/Spotfire), IoT integration, and cross-functional collaboration to improve efficiency, quality, and regulatory compliance.

Design, build, and productionize ML models for credit scoring, fraud detection, and segmentation. Maintain model governance and documentation, develop scalable MLOps pipelines and monitoring, generate analytical insights and dashboards, and mentor junior data scientists while leading end-to-end data science initiatives.

Partner with product, UA, and engineering to design and evaluate A/B tests, build predictive models (LTV, churn, retention, segmentation), analyze player behavior, and deliver data-driven recommendations to improve engagement, retention, and monetisation. Build scalable data-science solutions and apply new AI techniques to drive product decisions.

Lead global Wealth Management Channels technology, driving architecture, product delivery, and engineering culture for multi-channel digital products. Manage large budgets and teams, build secure, scalable systems (iOS/Android/Web), implement DevOps/automation, and ensure operational excellence and regulatory compliance.

Lead revenue growth and digital transformation for Inside Sales, Marketing, and E-commerce. Drive AI/GenAI adoption, build scalable inside sales, optimize digital commerce, implement analytics and governance, and lead cross-functional change to improve acquisition, retention, and commercial performance.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

Develop, train, fine-tune, evaluate, and deploy AI/ML models and LLM-powered data products. Build end-to-end model pipelines, feature engineering, monitoring, and production deployment. Apply generative AI for summarization, classification, knowledge extraction and semantic search. Collaborate with product, engineering, and business teams and integrate third-party tools and open-source models.

Lead development and delivery of AI products for Market Intelligence. Partner with investors and compliance to define use cases, translate needs into product requirements, manage end-to-end lifecycle, ensure model governance, and collaborate with data engineering for reliable pipelines and integrations.

NTT DATA's Associate Graduate programme provides structured learning, mentorship, and hands-on exposure across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity. Graduates work on real client projects, earn certifications, build technical and professional skills, and explore specialised career pathways such as Cloud Engineering, Data Engineering, AI/ML, and Cybersecurity.

Design and build the foundational data layer, pipelines, and integrations for a manufacturing data platform. Develop backend services, APIs, and user-facing applications; implement data quality, monitoring, resilience, and audit capabilities; produce documentation, runbooks, and QA for production readiness; collaborate with operations and stakeholders to iterate on UI/UX and business logic.

Support research in embodied AI and robotic manipulation by developing perception and control algorithms, integrating multimodal AI models with robotic platforms, conducting simulation and real-world experiments, working with robotic arms and mobile robots, maintaining lab equipment, and assisting with publications and collaborations.

Lead and execute statistical and geospatial analyses to quantify and map climate mitigation potential from forests and peatlands. Design analytical workflows, manage projects and partners, create datasets, tools, reports, and deliver trainings and technical support for global conservation initiatives. Communicate results via publications, visualizations, and capacity-building activities; occasional fieldwork and international travel possible.

Manage AI Hub product backlogs and translate business challenges into user stories and scalable workflows. Partner with product, engineering, data, and operations teams to deliver AI/ML and automation solutions from experimentation to production. Drive testing, validation, adoption, metrics tracking, stakeholder engagement, and ensure adherence to governance, risk, and responsible AI practices.

Lead and build BNY's Singapore Applied AI team to identify, design, and deliver production-grade AI/ML and LLM solutions. Drive end-to-end delivery from problem framing, prototyping, evaluation, deployment, monitoring, and adoption while embedding responsible AI, governance, and cross-functional stakeholder alignment.

Own net-new enterprise logo acquisition in Singapore: build territory strategy, run discovery calls and demos, create pipeline, engage business and IT stakeholders, close deals to meet quotas, and collaborate with partners and cross-functional teams to accelerate complex, high-value Snowflake AI and data opportunities.