AI/ML Ops Engineer (18-month Leased Labor)

Huawei Heisenberg Research Center (Munich)

Responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Automotive Engineering Lab (AEL)

Teams are rapidly growing and focused on advanced automotive technologies in multiple domains.

AI/ML Ops Engineer (18-month Leased Labor) (m/f/d)

Your mission

Apply state-of-the-art approaches to ensure smooth operation of AI/ML activities in the AEL Safety Team.

• Set up and maintain end-to-end AI pipelines, large-scale datasets, and deep learning frameworks.
• Develop and automate the AI engineering lifecycle, including model training and data labeling workflows.
• Implement data pre- and post-processing, including data transformations, cleaning, and filtering.
• Monitor and optimize GPU resource usage, ensuring system stability and performance.
• Deploy open-source models and conduct benchmarks.

Your areas of expertise

• Bachelor’s or Master’s degree in Computer Science, Data Science/Analytics, Computer/Electrical Engineering or a similar field.
• Knowledge of autonomous driving algorithms for driving policies, end-to-end networks, and foundational models is an advantage. Familiarity with models such as UniAD, SAM, Dino, Diffusion model (policy), and World model. Experience deploying end-to-end models for automotive is better.
• Experience and proficiency in AI/ML design and implementation, AI frameworks such as PyTorch, TensorFlow, Keras, Python programming, and data pre/post-processing.
• Knowledge of CI/CD environments, Docker, scripting, and build/deploy process automation.
• Hands‑on attitude and positive engagement to integrate into a high‑performance team.
• Proficiency in English; German and/or Chinese knowledge are an advantage.

Your rewards of working here

• Our culture is characterized by innovative power and team spirit, with intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our company canteen.
• To support ongoing development, we provide a broad range of training opportunities, including online and face‑to‑face programs and language courses in German and Mandarin.
• Our diverse and welcoming environment includes around 40 individual nationalities.
• Self‑responsible work in a competent, motivated, and constantly growing team.