Werkstudent für Scientific Computing & Machine Learning (d/m/w)
Tasks
- Automate scientific pipelines
- Build Python libraries for technical computing
- Create MLOps tools
- Create tutorials for engineering tools
- Develop surrogate models
- Implement machine learning workflows
- Implement reduced order models
- Write technical documentation
Perks/Benefits
- Career development
- Flexible work hours
- International work environment
- Networking opportunities
- Travel opportunities
- Work-life balance
Skills/Tech-stack
Cloud Computing | Git | High Performance | High-Performance Computing | MLOps | Machine Learning | Numerical Methods | Performance Computing | PyTorch | Python | Reduced-order models | Surrogate modeling
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
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