Public summary
Join a leading European AI initiative as a Working Student supporting infrastructure and platform engineering for large language models and MLOps. Gain hands-on experience operating containerized AI model-serving systems, monitoring system health, assisting with deployment workflows, and contributing to observability efforts. This role is suited for students in computer science or related fields with experience in Python, Linux, Docker, and CI/CD pipelines.
Location and work setup
- Location
- Heilbronn, Munich
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Support operation of containerized model-serving systems across GPU clusters; monitor system health and troubleshoot in collaboration with platform engineers; assist with deployment workflows including staging validation and controlled rollouts; maintain model endpoints and routing layers for AI services; run API and integration tests to ensure compatibility; contribute to monitoring and observability through dashboards and alerts.
Qualifications
Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Engineering, Software Engineering, or related field; solid Python programming skills; hands-on experience with Linux, Docker, and Docker Compose; familiarity with Git, CI/CD pipelines, and GitLab CI; curious about LLM systems, AI infrastructure, and MLOps; interest in observability tools like Prometheus and Grafana; careful and responsible work ethic with production systems; strong English communication skills, German language skills are a plus.