Scientist_Senior Scientist (DMD Division_CPPS Group), SIMTech

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A premier research organization in Singapore seeks a Machine Learning Scientist to lead AI/ML R&D for manufacturing challenges. The role entails conducting research on smart manufacturing applications, developing ML pipelines, and working with time series data. A PhD in a relevant field and experience with ML in production are essential. Strong skills in Docker, Python, and advanced ML techniques are preferred.

Qualifications

• PhD focusing on ML/AI is required.
• Experience with ML in production environments is essential.
• Familiarity with Docker and MLOps practices is needed.

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

ML/AI applications

Time series analysis

Python skills

MLOps best practices

Collaboration

Education

PhD in Computer Science, Engineering, or related field

Tools

Docker

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).