Top Machine Learning Jobs in Singapore

Lead the development and optimization of transaction monitoring capabilities across payments, ensuring effective detection of suspicious activities while enhancing customer experience.

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.

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.

The role requires driving strategic growth in the ASEAN region, developing client account strategies, and serving as a trusted advisor to senior stakeholders to enhance software development and modernization efforts.

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.

As a Software Engineer Intern, you'll develop high-performance platforms and technological tools for trading strategies while collaborating with senior team members at Citadel Securities.

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 role involves partnering with business leads to manage strategic projects, focusing on business process analysis, technology integration, and innovative solution development while supporting workflow improvements.

As a Senior Business Intelligence Analyst, you will develop Smart Manufacturing solutions, analyze data for wafer output, lead projects, and collaborate with global teams to identify improvements.

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

The role involves collaborating with data scientists, engineers, and stakeholders to implement AI-based solutions, track impacts, and identify cost opportunities in smart manufacturing.

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.

Lead technical pre-sales initiatives by understanding client needs, designing solutions, and delivering product demonstrations while collaborating with internal teams.

As an intern, you will apply machine learning and data analytics to enhance manufacturing productivity by transforming large datasets into actionable insights for equipment optimization.

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.

This internship focuses on photolithography equipment in semiconductor manufacturing, IoT integration, data analytics, and cross-functional engineering collaboration.

Lead the global Financial Operations function, ensuring high customer experience and operational excellence while managing teams across regions and driving AI-based process improvements.

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

Lead the introduction and ramp of High Bandwidth Memory products, ensuring product milestones are met through cross-functional team coordination, technical leadership, and effective decision-making.

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 Director of Data Science at Mastercard, you will lead financial crime modeling efforts, engaging with teams and stakeholders to ensure effective solutions that meet customer and regulatory needs. You will represent Mastercard at industry events and contribute to white papers, while collaborating with global teams to align methodologies.

The Staff Data Scientist will lead data science initiatives, mentor the team, drive strategy, and contribute to product developments through quantitative analysis and data insights.

As Director of Fraud Risk, you will shape and lead the fraud risk management strategy, standardize reporting processes, collaborate with regulators, develop fraud policies, and enhance prevention measures.

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 develop a high-impact analytics team for APAC at Wise, driving data-led decision making and shaping the product roadmap.