BMW AG
80809 München - Deutschland
Data Scientist
Arbeit
Vollzeit
ab 16.06.2026
Beschreibung
Stellenreferenz: 181741
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expe... weiter lesen
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expe... weiter lesen
Stellenreferenz: 181741
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
At BMW's Autonomous Driving Campus, you will co-design the next-generation perception and planning stack that will power millions of vehicles worldwide, working with one of the industry's largest real-world driving datasets.
What should you bring along?
- University degree in Computer Science, Data Science, AI, Mathematics, Physics or comparable qualifications.
- At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
- Profound expertise in Kubernetes, AWS EKS, and related cloud services.
- Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration.
- Advanced skills in Infrastructure as Code, especially Terraform and Helm.
- Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
- Very good written and spoken English skills; knowledge of German is an advantage.
Would you like to shape the future of autonomous driving by building scalable MLOps platforms for innovative AI solutions? Apply now!
Find out more about Artificial Intelligence at the BMW Grouphere .
Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
What do we offer?
- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits
Start date: <>from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person). <>
You can find helpful tips on your application and the application processhere .
At the BMW Group, we place great importance on equal treatment and euqal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Learn morehere .
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
At BMW's Autonomous Driving Campus, you will co-design the next-generation perception and planning stack that will power millions of vehicles worldwide, working with one of the industry's largest real-world driving datasets.
What should you bring along?
- University degree in Computer Science, Data Science, AI, Mathematics, Physics or comparable qualifications.
- At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
- Profound expertise in Kubernetes, AWS EKS, and related cloud services.
- Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration.
- Advanced skills in Infrastructure as Code, especially Terraform and Helm.
- Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
- Very good written and spoken English skills; knowledge of German is an advantage.
Would you like to shape the future of autonomous driving by building scalable MLOps platforms for innovative AI solutions? Apply now!
Find out more about Artificial Intelligence at the BMW Grouphere .
Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
What do we offer?
- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits
Start date: <>from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person). <>
You can find helpful tips on your application and the application processhere .
At the BMW Group, we place great importance on equal treatment and euqal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Learn morehere .
Ref-Nr.: 11517846
Aktualisiert:
18.06.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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