Top Machine Learning Jobs in Singapore

Analyze card fraud disputes, trends, datasets, and prevention-rule performance. Develop, test, optimize, and monitor fraud rules using SQL, Python, machine-learning scores, and risk signals. Investigate emerging fraud patterns and incidents, recommend data-backed strategies, track fraud and customer-impact KPIs, and collaborate with Product, Engineering, Data Science, and Operations teams to reduce losses while protecting approval rates and customer experience.

Lead Package and HBM Product Engineering, improve yields, resolve packaging issues, mentor team members, and collaborate across functions for product improvement.

Lead HBM product reliability test development and execution to reduce DPM, drive intrinsic/extrinsic reliability, debug qual/RMA failures via EFA/PFA, enable process conversions with fab, apply ML/AI to reliability datasets, mentor team, and collaborate cross-functionally to meet quality, cost, and cycle-time KPIs.

Lead development, qualification, and manufacturing transfer of advanced packaging (hybrid bonding, TCB, flip chip). Design and analyze DOEs, perform process characterization, root-cause analysis, and yield/reliability improvement. Collaborate cross-functionally, evaluate materials/equipment, apply AI/automation and analytics, and support sample builds and supplier engagements toward high-volume readiness.

Leads High Bandwidth Memory product development from introduction through high-volume production. Owns technical program requirements, milestones, reviews, risk mitigation, decision-making, and cross-functional coordination across engineering, quality, supply chain, packaging, test, and manufacturing teams. Represents programs to executives, drives change management, and develops distributed team members through mentorship, coaching, evaluations, and accountability.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Conduct ML research (deep learning, NLP, statistics) on large and unstructured datasets, implement algorithms in production-quality code, back-test models, and document findings to inform trading strategies.

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

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

Lead design and evaluation of cybersecurity architecture and controls for enterprise applications, specializing in blockchain and smart contract security. Provide technical guidance, perform threat modeling and security assessments, audit smart contracts, advocate secure SDLC practices, and recommend technology solutions.

Lead AI/ML risk and control activities across APAC to strengthen governance, operational risk management, and regulatory compliance. Partner with business and control stakeholders to define controls, support testing and issue remediation, complete risk assessments, maintain control documentation, analyze metrics for emerging risks, and prepare materials for regulatory exams.

Lead Asia physical commodities operations in Singapore, owning operational performance, controls, reconciliations, and inventory oversight. Serve as subject-matter expert on complex transactions, build stakeholder relationships across front/middle office, risk, finance and compliance, manage external counterparties, and drive initiatives to reduce risk and improve efficiency and scalability.

Lead development and maintenance of a resilient, cloud-native algorithmic equities trading platform. Design and implement trading strategies, produce high-quality Java production code, ensure operational stability, drive automation/CI-CD, collaborate with front office, evaluate vendors, and lead engineering best practices.

Join a front-office quantitative trading team to design and implement algorithmic execution strategies, back-test models and signals, build low-latency trading tools, and run real-time and post-trade transaction cost analysis to optimize execution.

Lead an agile engineering team to design, build, and deliver secure, scalable production software. Provide technical guidance, write and review code, drive product and architecture decisions, champion firmwide SDLC and AI-assisted engineering practices, and ensure operational stability and validated automation across the toolchain.

Lead development, automation, and operation of a global Equities Trading Order Management System. Design OMS features, integrate CI/CD and resiliency, automate processes, lead incident response, coordinate with stakeholders, and ensure regulatory and operational compliance.

Conduct threat hunting, security research, and intelligence analysis; build AI-powered threat research systems; analyze large datasets; validate AI-assisted findings and advise cross-functional teams to improve security posture.

Develop and maintain mathematical models and trading algorithms for valuation, hedging, risk measurement, and electronic trading in commodities. Collaborate with trading desks, product managers, technology, and control functions to implement production-ready models, ensure regulatory compliance, and support quantitative innovation and portfolio risk methods.

Design and deploy real-time ML models and credit risk frameworks to detect fraud and assess merchant lending risk. Translate business needs into scalable analytics, monitoring, and decision-support tools. Partner with product, engineering, and operations to productionize models and improve risk visibility and decision quality.

Participate in semiconductor technology research and development projects: perform experiments, data analysis, modelling/simulation, and device characterization; generate technical reports, recommendations, and present findings. Leverage AI/ML and advanced analytics where applicable and collaborate with engineers to support process integration and next-generation memory technology development.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Lead development of advanced dry etch processes for NAND technology, inventing plasma chemistries and equipment capabilities. Use AI/ML, analytics, and automation to accelerate process pathfinding, collaborate with integration and device teams, and drive manufacturability and yield improvements across semiconductor process domains.

Develop and deploy AI/ML and analytics solutions for Facilities Mechanical systems (HVAC, chillers, boilers, CDA, cleanroom air). Build predictive maintenance models, dashboards, digital twins, and automation to improve reliability, energy efficiency, and operational decision-making. Collaborate with controls, IT, and operations to integrate SCADA/BMS/PLC data, ensure data quality and governance, and drive digitalization of maintenance workflows while supporting change management in a 24/7 fab environment.

Lead and grow a team of diffusion and implant engineers to develop and transfer 3D NAND process modules. Drive process characterization, DOE-driven optimization, process monitoring/control, manufacturability, supplier partnerships, and adoption of data analytics/AI to improve yield, cost, and scalability while supporting pilot ramps and high-volume manufacturing.

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.