Senior AI Model Developer

• 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., * 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

• 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.

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.Â