Key skills
DockerPythonAIMachine LearningFastAPISwaggerAgileCI/CD
About this role
Role Overview
- Take responsibility for the full lifecycle of our AI applications
- Develop containerized applications and handle their deployment with Docker
- Ensure smooth integration into our existing infrastructure
- Employ modern technologies and proven best practices
- Conduct code reviews and continuously optimize existing applications
Requirements
- Degree in a STEM field or equivalent qualification
- Several years' professional experience in agile data science projects and production-grade AI solutions
- Strong knowledge of Python, particularly experience with FastAPI and the Transformers library
- Confident using tools such as Swagger, Docker and basic CI/CD tools
- Experience in designing, testing and implementing machine learning projects
- Excellent English skills and good German skills, both written and spoken
Tech Stack
- Docker
- Python
Benefits
- 30 days of annual leave
- Free gym membership or company bike (JobRad)
- Complimentary beverages at the workplace
- Discounted lunch through our canteen service
- Employer contributions (e.g., for capital-forming savings or company pension schemes)
- Good transport links and free parking