Top Machine Learning Jobs in Singapore

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

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

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.

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.

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

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.

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.

The Senior Product Owner will lead smart manufacturing solutions, analyze yield management processes, and collaborate with cross-functional teams to enhance efficiency and implement AI technologies.

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.

The role involves designing and executing AI solutions using machine learning in manufacturing, optimizing data pipelines, and collaborating with data teams.

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

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

The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

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

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

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

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

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

Develop and deploy product-disposition solutions using data analysis, machine learning, and AI to improve yields and reliability. Mentor team members and collaborate across functions to drive innovation and enhance product quality.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

The Senior Analyst will conduct economic analysis, develop econometric models, monitor macroeconomic trends, and provide insights using data science techniques.

This role involves leading complex projects, enhancing operational processes through AI, and driving strategic initiatives in a manufacturing context.

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