Stage Innovation : Ingénieur Data Science / Machine Learning
Core
Integrate a PhD student's research on ensemble methods and AutoML for tabular classification into an existing MLOps platform.
Role type
Final-year engineering student intern (Data Science / Machine Learning)
Builds
MLOps platform components in Python and C#
Domain
Data Science / Machine Learning / MLOps
Deliverable
production ML models
Required skills
Python, C#, pandas, scikit-learn, Git, Docker, Blazor, MLOps fundamentals
Preferred skills
None stated
Technologies
Python, C#, pandas, scikit-learn, Blazor, Git, Docker, VS Code
Responsibilities
Collaborate with the PhD student and development team to integrate new components; Adapt existing Python code into platform-compatible modules; Adapt platform components to better integrate new components; Demonstrate the utility of new components on a use case; Document the integration and induced changes
Seniority
Intern (Final-year engineering student)