About the role
AI summarisedSenior research scientist role focused on applying AI/ML to manufacturing challenges including process monitoring, quality improvement, and reconfigurable systems. Leads R&D efforts in smart manufacturing with emphasis on production-ready ML solutions.
ResearchOnsite
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
- 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.)
- 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)