Top Machine Learning Jobs in Singapore

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

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.

As a Product Engineer in the Heterogeneous Integration Group, you'll lead HBM product engineering activities focusing on yield improvement, root cause analysis, cross-functional collaboration, and project management, while advocating for AI/ML model deployment to enhance KPIs.

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

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

As a CE PYE FA Engineer, perform fault isolation and physical failure analysis, collaborating across teams to resolve defectivity and improve processes.

As a Process Control System Engineer, you'll improve manufacturing processes, analyze data, and develop smart control solutions in semiconductor production.

The intern will assist in improving wafer thickness detection through data analytics, machine learning, and process optimization. They will work on simulation and contribute to end-to-end solutions in semiconductor manufacturing.

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

The Principal Machine Learning Engineer will architect and execute ML solutions, optimize training efficiency, and develop autonomous AI agents for Micron Technology's manufacturing processes.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

In this role, you will apply expertise in AI and data science to deliver impactful solutions for clients, leveraging your skills to solve complex challenges and engage with a diverse client base.

As Senior Product Manager, you'll lead the development of risk products, manage strategies, and enhance risk models to prevent fraud while ensuring customer satisfaction.

The role involves developing AI-driven banking solutions, writing efficient code, integrating systems, and ensuring software quality through testing and reviews.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.

The role involves conducting research to identify predictive financial signals and contributing to quantitative models for market predictions.

As a Credit Risk Specialist, you will design credit risk management solutions, analyze data to develop strategies, and oversee compliance with regulations.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

As a Research Engineer, you'll work on building and improving a scalable search engine, focusing on crawling, parsing, ML performance, and retrieval algorithms.

The Senior ML Platform Engineer will design and maintain the MLOps platform, implement automation for model deployment, and ensure system security, collaborating closely with Data Scientists and ML Engineers.

Develop and deploy automation and AI-assisted solutions for operations while managing infrastructure such as databases, CI/CD pipelines, and application hosting. Responsible for building operational tools, documentation, and solutions in a collaborative environment.

The intern will develop AI-enabled Bayesian models for oncology trials, work on data-driven priors, integrate external control arms, develop dose-finding models, manage PK data, and create insights with LLM tools.

The Computer Vision Engineer will develop and implement algorithms for object detection and image classification, integrate models into software systems, and evaluate performance metrics while staying updated on technological advancements.

As an AI Researcher, you will design and improve ML/LLM systems, develop AI features, conduct experiments, and enhance product performance through analytics and observations.

The role involves data analytics and machine learning to enhance business efficiency, support decision-making, and implement process improvements through collaboration with stakeholders.