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

Huawei Heisenberg Research Center (Munich) is 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.

Join us as a:

Engineer (18-month Leased Labor) - AI/ML Ops (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 the use of GPU resources, ensure 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 similar field.
• Experience and proficient skills in AI/ML design and implementation, AI frameworks such as PyTorch, TensorFlow, Keras, Python programming and data pre‑/post‑processing.
• Experience in deploying AI models using vllm, llamacpp, lm‑studio or ollama. Experience in deployment of end‑to‑end models for automotive is an advantage.
• Knowledge in 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.

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Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face‑to‑face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self‑responsible work in a competent, motivated and constantly growing team

Please send your application and CV (incl. cover letter and reference letters) in English.