Role Summary

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).