About the role
AI summarisedLead and support R&D in applying Artificial Intelligence and Machine Learning to address complex manufacturing challenges, focusing on process monitoring, quality improvement, and reconfigurable systems within a smart manufacturing context.
ResearchOnsite
Key Responsibilities
- Conduct research on ML/AI applications within smart manufacturing environments.
- Develop and deploy robust ML pipelines adhering to MLOps best practices.
- Apply advanced machine learning methods, including few-shot, transfer, and continual learning, to time series data.
- Collaborate effectively within a multidisciplinary research team.
- Ensure the development of scalable and reproducible ML workflows using containerization technologies.
Requirements
- PhD in Computer Science, Engineering, or a closely related field with a focus on ML/AI.
- Proven experience deploying Machine Learning models in production environments.
- Proficiency in time series analysis and quality monitoring systems.
- Familiarity with Docker and MLOps workflows.
- Knowledge of advanced ML techniques such as few-shot learning or continual learning.