Senior ML Scientist: Smart Manufacturing & MLOps

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR Research Entities in Singapore is seeking a Machine Learning Scientist to lead R&D applying AI/ML to manufacturing challenges, including process monitoring, quality improvement, and reconfigurable systems.

You will develop and deploy ML pipelines with MLOps, work with time series data for predictive modeling, and collaborate across disciplines, using Docker to ensure scalable, reproducible workflows. Proficiency with PyTorch/TensorFlow and cloud familiarity is a plus.

Qualifications

• PhD in Computer Science, Engineering, or related ML field required.
• Experience deploying ML in production environments.
• Proficient with time series analysis for monitoring quality.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques like few-shot and continual learning.

Responsibilities

• Lead ML R&D for smart manufacturing projects.
• Develop and deploy ML pipelines with MLOps.
• 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.

Skills

Machine learning

Time series analysis

Python

Collaboration

Education

PhD in CS/Engineering

Tools

Docker

MLOps

PyTorch

TensorFlow

Job description

A*STAR Research Entities in Singapore is seeking a Machine Learning Scientist to lead R&D applying AI/ML to manufacturing challenges, including process monitoring, quality improvement, and reconfigurable systems.

You will develop and deploy ML pipelines with MLOps, work with time series data for predictive modeling, and collaborate across disciplines, using Docker to ensure scalable, reproducible workflows. Proficiency with PyTorch/TensorFlow and cloud familiarity is a plus.