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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.
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 (f...
About the Role
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
Requirements
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