Top Machine Learning Jobs in Singapore

Develop and validate product disposition solutions using AI/ML for data analysis, enhance yields, create alert systems, and mentor team members in a cross-functional collaborative environment.

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

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 Business Intelligence Analyst will translate business needs into actionable requirements, collaborate on image analytics, and support project coordination within semiconductor manufacturing.

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.

Seeking a Senior Data Scientist to design, deploy, and iterate data science solutions that enhance customer acquisition, engagement, and retention. Responsibilities include predictive modeling, statistical analysis, and collaboration with various teams to shape growth strategy.

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.

The Lead AI Engineer designs, develops, and maintains advanced AI systems, influences technical direction, mentors junior engineers, and ensures operational stability of AI solutions.

The role involves performing fault isolation and physical failure analysis of electrical devices, collaborating with teams to resolve defect issues, and leading a team of technicians to drive improvements.

As a CE PYE FA Engineer, you'll conduct failure analysis, isolate faults, and collaborate across engineering teams to enhance device reliability.

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.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

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

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.

The intern will support the team in sensor location selection, design of sensor holders, data collection and labeling, and integration with the IoT team for a predictive maintenance project.

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 a team in defect detection and process improvement for semiconductor technology development, focusing on data analysis and collaboration across functions.

The Product Engineer will develop algorithms, enhance yield and quality using machine learning and AI, lead cross-functional initiatives, and mentor team members.

This role involves leading NAND technology integration, solving technology gaps, designing experiments, and driving technical innovation in memory solutions.

The role involves developing advanced thin film deposition processes, conducting experiments for process improvement, collaborating with teams, and mentoring junior engineers.

The Senior Business Intelligence Analyst will improve wafer performance through data analysis, machine learning, and global project management in Micron's Smart Manufacturing initiatives.

As a Process Control Engineer, you will enhance manufacturing efficiency by developing advanced control solutions, integrating AI/ML, and collaborating across teams.

Lead the development and production of High Bandwidth Memory products, coordinating across teams for successful implementation and risk mitigation.

As a Principal Engineer, you will lead a team in defect detection and process improvement in the semiconductor industry, collaborating with various departments to drive innovation and mentor team members.

The role involves leading initiatives for yield improvement in DRAM/NAND/HBM technologies, collaborating across teams, and utilizing data analytic tools. Requires strong technical leadership and decision-making skills.