Senior AI Infrastructure & Frontier Model Engineer (f/m/x)
At a glance
Senior ML Platform & Ops role at BMW Group. München.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run HPC and GPU clusters that support demanding AI applications
- Provide compute infrastructure for model training, fine-tuning and inference
- Bring foundation and frontier models into development and production environments
- Run fine-tuning, alignment and evaluation work, then assess model behavior and recommend improvements
- Improve platform performance, scalability, availability and efficient use of resources
What you bring
- A computer science or electrical engineering degree, or a comparable qualification
- At least three years of work in machine learning, AI models and large language models
- Experience building and operating HPC or GPU platforms for AI workloads
- Practical background in distributed training and production AI infrastructure, including Linux and containers
Who this fits
This senior full-time role suits someone who combines hands-on AI model work with infrastructure operations. Business-fluent English is required; German is a plus. Apply through the online career portal, with recruiting stages that include an online test and a hiring-manager interview, virtual or in person.
From the employer
Our team is shaping the next generation of AI platforms that power advanced models and scalable production applications. By combining deep expertise in infrastructure, high-performance computing (HPC), and large language models (LLMs) with modern training, fine-tuning, and optimization techniques, we continuously drive the development of cutting-edge AI capabilities.
What awaits you?
- 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.
What should you bring along?
- 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!
Find out more about Artificial Intelligence at the BMW Group here.
Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
What 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
Working hours: FULLTIME
If you apply, the next stages of the recruiting process include online testing and an interview with the hiring manager (either virtual or in person).
You can find helpful tips on your application and the application process here.
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 more here.