Scientist_Senior Scientist (DMD Division_CPPS Group), SIMTech

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading research institute in Singapore is seeking a Machine Learning Scientist to advance R&D in AI/ML applications to tackle manufacturing challenges. The ideal candidate will develop ML pipelines, work with predictive modeling, and collaborate in a dynamic team to create innovative solutions for process monitoring and quality improvement.

Qualifications

• Proven experience with ML in production environments.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques (few-shot, continual learning).

Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop & deploy ML pipelines with MLOps practices.
• Work with time series data for predictive modeling.

Skills

Time series analysis

Machine learning

Docker

MLOps

Predictive modeling

Python

Education

PhD in Computer Science, Engineering, or related field

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

SIMTech, a research institute under A*STAR, advances high-value manufacturing technologies to boost Singapore’s industrial competitiveness. The Digital Manufacturing Division pioneers digital solutions for smart, reconfigurable manufacturing systems, driving innovation for Industry 5.0.

We seek a Machine Learning Scientist to lead and support R&D in applying AI/ML to manufacturing challenges, particularly in process monitoring, quality improvement, and reconfigurable systems

Key Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop & deploy ML pipelines with MLOps practices.
• Work with time series data for predictive modeling.
• Apply advanced ML methods: few-shot, transfer, continual learning.
• Collaborate in a multidisciplinary team.
• Ensure scalable and reproducible ML workflows using Docker

Requirements

• PhD in Computer Science, Engineering, or related field (focus on ML/AI).
• Proven experience with ML in production environments.
• Proficient in time series analysis & quality monitoring systems.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques (few-shot, continual learning, etc.).

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Background in smart/digital manufacturing.
• Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
• Exposure to cloud platforms (AWS, GCP, Azure).