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).
