Werkstudent für Scientific Computing & Machine Learning (d/m/w)
Tasks
- Automate developer and researcher setup processes
- Build and maintain technical computation libraries
- Create MLOps tools and automation scripts
- Create and document reduced order model workflows
- Develop and implement scientific computing templates
- Document how to guides tutorials and architecture overviews
- Refactor and abstract code for reuse and testability
Perks/Benefits
- Community network opportunities
- Flexible work schedule
- International work environment
- Opportunities for professional development
- Travel within Germany for team events
- Work-life balance
Skills/Tech-stack
AWS | Amazon SageMaker | C# | C++ | CUDA | Cloud platform | Cython | Google Cloud | Google Cloud Platform | High Performance | High-Performance Computing | Julia | Kubeflow | MLOps | MLflow | NumPy | Performance Computing | PyTorch | Python | Reduced-order models | SciPy | Scikit-learn | Surrogate modeling | TensorFlow | XGBoost
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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