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You drive the development of domain specific AI and shape the next generation of Large Industry Models (LIMs) for the BMW Group. LIMs bridge the gap between generic foundation models and the complex requirements of industrial environments. By building and scaling LIMs, you enable a new class of AI solutions across the entire value chain, from engineering and manufacturing to robotics, customer, and service, delivering measurable and sustainable business impact.
Job Responsibility:
You define the technical and business product vision and system architecture for Large Industry Models, covering model, data, and platform layers
You lead and technically mentor an engineering team building multimodal foundation model stacks, including language, vision, and action models
You guide core technical and architectural decisions, selecting and adapting foundation models and designing scalable AI systems
You develop a comprehensive industrial data strategy, including data sourcing, curation, annotation, and feedback loops
You ensure reliable delivery of LIMs into cloud production environments with strong MLOps, evaluation, safety, and compliance standards
Requirements:
Advanced degree in computer science, mathematics, data science, or a related field, or equivalent senior industry experience
Five to ten years of professional experience, including several years in advanced AI and technical leadership roles
Ability to translate complex technical concepts into AI strategies, products, roadmaps, and measurable impact
Deep expertise in foundation models, particularly multimodal and reasoning models, including adaptation and post training methods
Proven experience building large scale AI systems, including distributed training, high throughput inference, GPU acceleration, and cost optimization
Strong background in industrial or automotive data, processes, and IT systems
Excellent software engineering skills in Python and modern ML frameworks, with the ability to adapt to internal platforms and toolchains
What we offer:
Challenging projects with which we shape 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 six weeks annual leave and overtime compensation