
Machine Learning Scientist
A*STAR - Agency for Science, Technology and Research
Posted
last week
Singapore, Singapore
Onsite
SGD 8K
Mid Level
Full Time

Sema Summary
We are looking for a Machine Learning Scientist to drive R&D in AI/ML for manufacturing applications. The role involves conducting research, developing ML pipelines, and collaborating with a diverse team.
About Company
A*STAR is Singapore's leading public sector agency focusing on research and innovation. They connect academia and industry to foster economic growth and societal benefits through scientific discovery.
Core Requirements
- PhD in Computer Science, Engineering, or related field
- Experience in ML for production environments
- Proficient in time series analysis
- Familiarity with Docker
- Knowledge of advanced ML techniques
Responsibilities
- Conduct research on ML/AI applications in smart manufacturing.
- Develop and deploy ML pipelines using MLOps practices.
- Work with time series data for predictive modeling.
- Apply advanced ML methods.
- Collaborate with multidisciplinary teams.
- Ensure scalable ML workflows using Docker.
- Support quality improvement initiatives.
Must Have skills
Job Keywords
Similar Jobs

Machine Learning Engineer
Amazon Web Services (AWS)
Singapore, Singapore

Machine Learning Engineer
A*STAR - Agency for Science, Technology and Research
Singapore, Singapore

Machine Learning Engineer
ByteDance
Singapore

Scientist
A*STAR - Agency for Science, Technology and Research
Singapore, Singapore

Research Scientist
Meta
Singapore

Data Scientist
AI Cloud Vision Security
Singapore

Data Scientist
dentsu
Singapore, Singapore

Data Scientist
Boston Consulting Group
Singapore, Singapore

Data Scientist
QuantumBlack
Singapore, Singapore

Data Scientist
Micron Technology
Singapore, Singapore
AI Career Assistant
Coming soonWe're polishing your AI assistant experience. You can leave one message for now.
Hi 👋
AI chat is launching soon on Semesteria. Tell us what you want help with (career, resume, or job search), and we'll use it to shape the first release.