BMW Group is offering a Master student role focused on supporting the development of a scalable platform connecting cloud and edge components for our manufacturing plants. You will research and implement modern AI methods to automate recurring system health checks and operational processes, increasing observability across IT and OT boundaries.
What You'll Do
- Support the direct and practical application of your scientific work in the operation of cloud and edge infrastructures.
- Contribute to the use of AIOps and observability approaches, such as anomaly detection and LLM-based analysis, to make operational processes more robust and efficient.
- Investigate existing regular operational tasks and design solutions for their AI-supported automation.
- Help use observability data (metrics, logs, traces) to detect anomalies early and derive concrete measures to resolve incidents faster and avoid outages.
- Work closely with the infrastructure team and gain deep insights into a highly scaled, globally deployed platform.
- Gain valuable insights into the use of AI in operational IT processes and contextualize them within the current state of research.
What We're Looking For
- Enrollment in a study of computer science or a comparable qualification.
- Advanced studies and experience with AI/ML.
- Knowledge of public cloud environments, ideally Microsoft Azure.
- Experience with Kubernetes platforms.
- Very good programming skills, for example in Python.
- Enjoyment of data analysis and clean documentation.
- Very good German or English language skills.
Nice to Have
- Experience with LLMs/Generative AI.
- Knowledge of Rancher.
- Experience with common observability stacks, e.g., Grafana, Prometheus, and OpenTelemetry.
- Basic understanding of modern development processes and tooling (Git/GitHub, CI/CD, DevOps basics).
- Basic understanding of operational processes (Monitoring/Observability, Incident and Problem Management).
Technical Stack
- Microsoft Azure
- Kubernetes
- Rancher
- Grafana
- Prometheus
- OpenTelemetry
- Python
- Git/GitHub
Team & Environment
You will work closely with our infrastructure team.
Benefits & Compensation
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair remuneration.
- Apartments for students (subject to availability & only at the Munich location).
Work Mode
This role is onsite in Munich.
We at the BMW Group place great value on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience and skills of the applicants.
