AI Data Science Engineer (m/w/d)
Core
Develop and implement data analysis and machine learning solutions for measurement systems, focusing on EUV metrology.
Role type
Machine Learning Engineer (Measurement Systems)
Builds
Production ML models and algorithms for large dataset evaluation
Domain
Semiconductor manufacturing / EUV Metrology
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Deep Learning, Image Processing, Statistical Analysis, Pandas, NumPy, Scikit-learn, Git, Azure DevOps, Agile (Scrum/Kanban), Object-Oriented Programming, Test-Driven Development
Preferred skills
Optical measurement technology knowledge, Data-driven process optimization
Technologies
TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Git, Azure DevOps
Responsibilities
Develop and implement data analysis and ML solutions for measurement systems; Conceptualize, program, and integrate new algorithms for large dataset evaluation; Apply Deep Learning, image processing, and statistical analysis methods; Collaborate with cross-functional teams to optimize AI processes; Deploy ML models to production environments using agile methods; Conduct exploratory data analysis.
Seniority
Mid-Senior (3+ years experience)