Junior AI Engineer - Industrial Foundation Models (f/m/x) at BMW Group

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Solutions, Hardware Solutions, AI Workloads, MLOps, Data Pipelines, AI Services, Python, Infrastructure-as-Code, APIs, CI/CD Pipelines, Observability Tools, ML Frameworks, PyTorch, Distributed Training, NVIDIA Drivers, CUDA

Industry

Motor Vehicle Manufacturing

Description

We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production. What awaits you? You will use architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models. You will support the MLOps layer by building tools for reliable deployment, real-time monitoring, and the continuous improvement of models throughout their lifecycle. You will design and build scalable data pipelines and "flywheels" that ensure high-quality data availability and enable efficient feedback loops for continuous learning. You will design robust AI services and lead their integration into production-ready platforms, ensuring stability and performance. What should you bring along? Bachelor´s or Master’s degree in Computer Science, Systems Engineering, or equivalent practical experience Hands-on experience with public cloud providers (AWS and Azure) and managing high-performance GPU clusters (e.g. configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL). Strong programming skills in Python with focus on building infrastructure-as-code environments, APIs, CI/CD pipelines and observability tools. ML Framework proficiency; operational knowledge of PyTorch specifically how to optimize them for distributed training (using tools like Ray and Slurm). Open source contributions or relevant certifications are a plus. Are you ready to help shape the next generation of domain-specific AI platforms? Apply now!Find out more about Artificial Intelligence at the BMW Group here. Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered. What do 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. Discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits Earliest starting date: from now on Type of employment: unlimited Working hours: full-time If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person). Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will be answered by telephone or e-mail. 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.

Responsibilities

You will design, train, and operate foundation models for AI systems at BMW Group. This includes engineering end-to-end AI systems and supporting the MLOps layer for reliable deployment and monitoring.