About this role
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).
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