Stellenreferenz: 176460


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.

At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.

What awaits you?

- Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation.
- Hands-on work with large-scale, heterogeneous engineering, vehicle, and business data, transforming complex data landscapes into robust, high-performing models.
- End-to-end ownership of model performance, robustness, explainability, and lifecycle management in real-world business environments.
- Deployment of models into productive systems, including operational monitoring and iterative improvement based on real-world feedback and performance metrics.
- Close collaboration with data stewards, platform engineers, and solution architects to ensure scalable, secure, and compliant AI solutions.
- Active contribution to lighthouse use cases and to the establishment of best practices and standards for industrial-grade AI development at BMW.


What should you bring along?

- A university degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
- At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting.
- Proven success in bringing models from research or prototype stage into productive, value-generating operations. Experienced in working within agile, cross-functional teams with a strong sense of ownership and delivery focus.
- Strong expertise in modern ML methods (e.g., deep learning, time series, NLP, multimodal models) and their practical limitations.
- Hands-on experience with Python-based ML stacks and production environments (training, inference, monitoring).
- A solid understanding of data quality, bias, robustness, and compliance requirements for enterprise AI systems.
- Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.


Would you like to help us drive the AI transformation at BMW? Apply now!

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, a pre-recorded video interview and then an interview with the hiring manager (either virtual or in person).


Find out more about Artificial Intelligence at the BMW Grouphere .

You can find helpful tips on your application and the application processhere .

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn morehere .