Junior AI Engineer - Industrial Foundation Models | Junior AI Engineer - Industrial Foundation Models (f/m/x)
BMW AG
Job Summary
This role involves shaping the future of domain-specific AI systems at the BMW Group by designing, training, and operating new industrial foundation models. The Junior AI Engineer will focus heavily on scaling AI workloads by architecting cloud and hardware solutions, optimizing GPU clusters, storage, and networking for maximum throughput and cost control. Day-to-day tasks include engineering and operating end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models. A core responsibility is supporting the MLOps layer by building tools for reliable deployment, real-time monitoring, and continuous model improvement throughout the lifecycle. Candidates should bring a degree in Computer Science or Systems Engineering, strong Python programming skills, and hands-on experience with public cloud providers (AWS/Azure) and high-performance GPU cluster management, specifically utilizing PyTorch for distributed training.
Required Skills
Education
Bachelor's or Master’s degree in Computer Science, Systems Engineering, or equivalent practical experience
Experience
- Hands-on experience with public cloud providers (AWS and Azure)
- Hands-on experience managing high-performance GPU clusters (e.g., configuring NVIDIA drivers, CUDA versions, and interconnects)
- Strong programming skills in Python focusing on building infrastructure-as-code environments, APIs, CI/CD pipelines and observability tools
- Operational knowledge of PyTorch specifically how to optimize them for distributed training
Languages
Additional
- Not specified
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