AI Platform Engineer responsible for designing and implementing end-to-end GenAI and ML infrastructure, planning and building operation platforms, and supporting data scientists and engineers. Flexible work arrangement with hybrid work within Germany and in defined EU countries.
Requirements
- Completed degree in (business) computer science, (business) mathematics, (business) engineering or a comparable course of study
- Very good knowledge and several years of professional experience in container-based architectures (e.g. Docker) and platforms like Kubernetes or OpenShift
- In-depth knowledge and experience with relevant tools and frameworks for the ML and GenAI lifecycle
- Comprehensive experience with automation and development tools
- Good German language skills (B2 level) and English language skills
Benefits
- Flexible vacation arrangement: 30 days of vacation and the possibility to individually increase or decrease the annual vacation time by up to 5 days
- Work-life balance: hybrid work within Germany and for a limited period in defined EU countries
- Further education: extensive professional and methodological training, including certifications, as well as various development opportunities within the company
- Self-driving: company car and company bicycle through salary conversion
- IT equipment: We support you in equipping yourself with required additional equipment for optimal flexible work
