Support AI development and implement use cases in a hybrid environment as a student assistant. Develop AI/LLM landscape, set up and maintain AI workflows, and implement data and inference pipelines.
Requirements
- Ongoing studies in Computer Science, Data Science, Electrical Engineering, Mathematics, or equivalent
- Good programming skills, preferably in Python (FastAPI/Flask)
- First practical experience with LLMs/GenAI (prompting, RAG, evaluation) as well as with REST-APIs
- Foundations in containers and orchestration (Docker, Kubernetes on premise and in the cloud, e.g. AKS), Helm; version control and CI/CD (Git/GitLab)
- API integration and interface expertise desirable
- Experience with data processing and databases
- Good English knowledge â Good German knowledge welcome
Benefits
- Value-oriented working culture
- Attractive contract conditions - âŹ15/hour for all student assistant positions
- High flexibility - A lot of personal freedom in designing working hours
- Personal development - Individual induction and career perspectives for long-term collaboration
- Exciting extras - Modern company restaurants and numerous corporate benefits
- Lived sustainability - Responsible handling of resources and development of efficient solutions for drive technology, electromobility, charging technology, and photovoltaics