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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Infrastructure & Frontier Model Engineer - **Company:** BMW AG - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Cloud Computing, Linux, Distributed Computing Environment, Machine Learning, AI Infrastructure, Pytorch, Large Language Models, Containerization, AI Platforms, Kubernetes, Information Technology, Docker - **Published:** September 3, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=dd1e1a56042862a5 ## About the Role * University degree in Computer Science, Electrical Engineering, or a comparable qualification. * At least three years of professional experience in Machine Learning, Artificial Intelligence, AI Models, and Large Language Models. * Experience in building and operating HPC or GPU-based computing platforms for AI workloads. * Hands-on experience with AI models, particularly in training (e.g., PyTorch, DeepSpeed, Megatron-LM), fine-tuning (e.g., LoRA/QLoRA, RLHF/DPO), and evaluating large-scale AI models. * Practical experience with distributed training approaches and scalable AI infrastructures. * Experience operating production-grade AI platforms for research and development, as well as working with Linux, containerized environments, and cloud or hybrid infrastructures (e.g., Kubernetes, Docker). * Ideally, experience working with frontier models and modern open-weight models. * Business-fluent English language skills; German language skills are desirable. Are you excited about building powerful AI platforms and advancing cutting-edge models for the production applications of tomorrow? Apply now! ## Description * You build, operate, and continuously evolve HPC and GPU cluster environments that enable state-of-the-art AI applications. * You provide scalable infrastructure for training, fine-tuning, and inference of advanced AI models. * You integrate new foundation and frontier models into existing development and production environments in a targeted and efficient manner. * By conducting and optimizing fine-tuning, alignment, and evaluation processes, you contribute to the continuous improvement of model quality. * Based on your analyses, you assess model behavior, identify weaknesses, and derive actionable recommendations for improvement. * You optimize the performance, scalability, availability, and resource efficiency of AI infrastructure platforms. * With your expertise, you support the advancement of AI models, training datasets, and model architectures while enabling the successful adoption of emerging AI technologies in production environments., * 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 ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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