Top Machine Learning Jobs in Singapore

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

Design, implement, and maintain data-driven processes and analytics solutions. Collect, cleanse, automate, and prepare data from disparate sources. Build KPIs and dashboards, apply statistical and machine learning methods, collaborate with stakeholders, perform testing and deployment, and train users to enable data-driven decision making and process improvements.

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

Lead planning, deployment, optimization, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Configure/tune models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, deliver AI workshops, and collaborate on customer-facing AI collateral. Travel up to 25% required.

Lead FP&A partnership with global commercial teams, own budgeting/forecasting, build GTM KPI/reporting, analyze profitability and unit economics, drive AI-enabled FP&A automation, and mentor junior staff to improve processes and decision-making.

Lead strategy, roadmap, and delivery for real-time fraud detection and client-facing risk products. Hire and grow engineering teams, own architecture and system reliability, drive cross-team collaboration, operational excellence, and product outcomes to reduce fraud and chargebacks at global scale.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

Lead and grow a ~10-person APAC analytics team to drive data-led product decisions, build KPIs and measurement, partner with Product/Banking/Engineering, coach analysts, define regional analytics strategy, perform hands-on analysis and scripting, and inform the APAC product roadmap.

The role involves managing and improving cycle time processes in semiconductor manufacturing by utilizing advanced analytics, facilitating training, and leading cross-functional projects to achieve operational excellence.

As a Data Science Engineer, you will analyze large datasets, develop predictive models, and work collaboratively to enhance data tools and processes.

Responsible for pre-silicon simulation, silicon validation, and TCV development for NAND products, providing technical leadership and driving cross-functional collaboration.

Engineers at Citadel work in small teams to develop high-performing technology under quick cycles. They focus on creating tools for trading strategies and data research platforms.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

The CE PYE FA Engineer will provide fault isolation and failure analysis support, collaborate on defect resolution, and innovate analysis techniques.

As a CE PYE FA Engineer, you will perform fault isolation and failure analysis, collaborate with teams, and develop new techniques to enhance operational efficiency.

The Engineer CE PYE will perform fault isolation, electrical device characterization, and physical failure analysis, collaborating with product teams to improve defectivity and operational efficiency.

The role involves fault isolation and failure analysis support, operating equipment for electrical defect localization, collaborating with teams for defect resolution, and leading a team of technicians.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

The Staff/Senior Engineer will focus on fault isolation and failure analysis for electrical devices, collaborating with teams to resolve defect issues and improve processes.

Internship to develop end-to-end analytics and ML solutions for semiconductor machine and inspection data: data extraction, preprocessing, modeling, drift detection, visualization, and documentation to detect early quality variation signals.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

Lead product strategy for real-time and post-transaction monitoring across payments. Own rules, alerting, workflows, investigator tooling, client-specific controls, and AI-driven detection, partnering with Risk, Compliance, Data, and Engineering to reduce fraud while preserving customer experience and operational efficiency.

Lead product strategy and execution for real-time and post-transaction monitoring across payments. Own rule design, alert optimisation, investigator tooling, client-specific controls, and scalable detection infrastructure. Partner with Risk, Compliance, Operations, Data, and Engineering to reduce fraud, leverage AI/analytics, automate workflows, and ensure AML/regulatory alignment while preserving customer experience.

Design, build, and operate core transaction risk microservices in Kotlin/Java. Deliver high-concurrency, highly available distributed systems, improve observability, evaluate graph/streaming/ML/LLM technologies, mentor engineers, and participate in on-call incident response to detect and prevent fraud at scale.

Lead end-to-end finance transformation by defining roadmap, architecting finance systems (ERP, AI, workflow), redesigning processes (P2P, O2C, R2R, FP&A), driving change management, building business cases, and measuring outcomes to scale global, IPO-ready finance operations.