Senior Scientist (DMD/CPPS), SIMTech

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research in Singapore is seeking a Machine Learning Scientist to lead AI/ML research, focusing on manufacturing challenges such as process monitoring and quality improvement. Applicants should have a PhD in Computer Science, proven production ML experience, and familiarity with Docker and advanced ML techniques. The role involves developing scalable ML workflows and collaborating in an interdisciplinary team within Singapore's vibrant tech ecosystem.

Qualifications

• PhD focused on ML/AI is required.
• Proven experience in production ML environments.
• Proficiency in time series analysis is essential.
• Familiarity with Docker and MLOps practices.

Responsibilities

• Lead research on ML/AI applications in smart manufacturing.
• Develop and deploy ML pipelines effectively.
• Work with time series data for predictive modeling.
• Apply advanced ML methods and collaborate with the team.

Skills

Machine Learning

AI Applications

Time Series Analysis

Docker

Python

Education

PhD in Computer Science, Engineering, or related field

Tools

ML Frameworks (PyTorch/TensorFlow)

Cloud Platforms (AWS, GCP, Azure)

Job description

Role Summary

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.
• Familiarity with Industry 5.0 and reconfigurable systems.
• Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
• Exposure to cloud platforms (AWS, GCP, Azure).