Junior AI Engineer - Industrial Foundation Models

• Use architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control
• Engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models
• Support the MLOps layer by building tools for reliable deployment, real-time monitoring, and the continuous improvement of models throughout their lifecycle
• Design and build scalable data pipelines and "flywheels" that ensure high-quality data availability and enable efficient feedback loops for continuous learning
• Design robust AI services and lead their integration into production-ready platforms, ensuring stability and performance

• 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

• 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