Top Machine Learning Jobs in Singapore

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.

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 analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

The Senior Manager, Strategy Lead (Quality Systems) leads AI-driven business transformation initiatives in manufacturing, partnering with stakeholders to drive solutions and optimize processes.

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.

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 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.

Lead product strategy for real-time and post-transaction payment monitoring. Own rule design, alert optimisation, investigator tooling, client-specific controls, and AI-driven detection improvements while partnering with Risk, Compliance, Data, Operations, and Engineering to reduce fraud and operational overhead and ensure regulatory alignment.

Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.

The Director of Financial Planning & Analysis will lead the APJ financial strategy, partner with sales leadership, manage forecasting, and leverage AI for financial insights.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

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.

As a Senior AML Analyst, you will investigate and analyze potential fraudulent activities, file SARs, collaborate with teams, and ensure compliance with AML regulations. You will also train other analysts and improve detection models.

The Senior Engineer will enhance production efficiency, manage semiconductor equipment processes, and lead improvements in memory product development through engineering methods and collaboration.

As a Customer Success Engineer, you will manage enterprise customer relationships, provide technical expertise, and drive integration and adoption of Deepgram's voice AI solutions, ensuring customer success and identifying growth opportunities.

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 the HBM Package Product Engineering team, focusing on yield improvement, cross-functional collaboration, innovation, and mentorship, while managing project execution and technical decision-making.

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.

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.

Lead and grow a team of CMP and BTG engineers to develop and transfer CMP/BTG process modules for 3D NAND. Drive process characterization, DOE-based optimization, process margin and manufacturability improvements, supplier partnerships, pilot ramp/yield support, and adoption of data analytics/AI for predictive modeling and process control.

The Principal Business Intelligence Analyst at Micron drives AI transformation in Smart Manufacturing by leading projects and collaborating across functions to improve manufacturing performance and data utilization using innovative AI solutions.

The internship involves hands-on learning in data analytics and machine learning. Interns will build data-driven models, perform statistical analyses, and communicate insights to improve process integration outcomes in semiconductor technology.

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.

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.

As a Machine Learning Engineer, you'll architect large-scale training jobs, design AI solutions, optimize GPU performance, and develop data pipelines.