Top Machine Learning Jobs in Singapore

As a Software Engineer II in Client Risk, design and build AI-driven risk monitoring systems, automate processes, and collaborate with cross-functional teams to enhance risk management.

As a Senior Software Engineer on the risk team, you will design and implement scalable risk data warehouses, optimize ETL pipelines, and partner with ML engineers to enhance risk data management.

As a Software Engineer, you'll develop high-performance technology tools for trading strategies, and work with high data research platforms in a collaborative team.

As a Software Engineer Intern at Citadel, you will develop technological tools for trading strategies, research platforms, and work in teams on finance technology.

Design, build, and optimize a machine learning platform focusing on data pipelines, model serving infrastructure, and MLOps best practices while collaborating with cross-functional teams.

Design, build, and optimize the machine learning platform. Responsibilities include managing data pipelines, model deployment, and collaboration with data science teams to ensure effective risk management practices.

The role involves designing and maintaining scalable workflows for root cause analysis, collaborating with teams to resolve issues affecting machine learning model performance, and guiding junior engineers in project execution.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

As an Intern - Product Development Engineer, you will optimize NAND component test flows, develop analytical tools and models, perform data analysis, and enhance manufacturing processes.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

The Senior Business Intelligence Analyst will gather and analyze data for improving wafer output performance, lead projects, and integrate AI solutions.

Lead the integration of NAND technology, develop strategic roadmaps, drive innovations, solve complex engineering problems, and collaborate with a global team.

As a Forward Deployed Software Engineer, you'll develop LLM-enabled applications, work closely with customers, and influence product strategies in an agile environment.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The role involves supporting production schedules, leading continuous improvement projects, sustaining production lines, and developing new processes in semiconductor manufacturing.

The intern will learn Lithography knowledge and utilize big data analysis to identify improvement opportunities and generate analysis models at Micron Technology.

As a Process Integration Engineer, you will develop, optimize, and integrate semiconductor processes, troubleshoot issues, and manage new product introductions to improve yield and quality.

Lead a team to enhance yield and quality in semiconductor manufacturing through advanced data analysis, machine learning, and AI. Develop algorithms, mentor team members, and foster cross-functional collaboration for innovative solutions.

The AI Solutions Architect will drive AI solution adoption among public sector clients, guide implementation, and ensure customer success while collaborating with sales and engineering teams.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Lead a team in defect analysis technology development, focusing on identifying issues and collaborating across teams to enhance inspection processes.

Lead the integration of 3D NAND technology, develop technology roadmaps, and drive innovative solutions through cross-functional collaboration and experimentation.

Develop advanced FPGA solutions for high-speed camera systems in wafer inspection. Responsibilities include design, verification, debugging, and collaboration with R&D teams.