Huawei

AI/ML Engineer (Leased Labor 18-months)

Stellenbeschreibung:

Overview

As AI/ML Engineer in the Automotive Engineering Lab, you apply state-of-the-art AI methods to ensure smooth operation of AI/ML activities. You will set up and maintain end-to-end pipelines and manage datasets, models, and deployment. You collaborate with a high-performance team to optimize GPU usage and benchmark open-source models for automotive applications. This role offers impactful work at scale within Huawei’s automotive AI research initiatives.

Leistungen / Benefits
  • training opportunities
  • language courses in German and Mandarin
  • diverse, global team
  • self-responsible work
  • company canteen meals
Verantwortungsbereiche
  • Set up and maintain end-to-end AI pipelines and datasets
  • Develop and automate AI engineering lifecycle (training, data labeling workflows)
  • Implement data pre-/post-processing, cleaning, and transformations
  • Monitor and optimize GPU resources, ensure system stability and performance
  • Deploy open-source models and conduct benchmarks
  • Work with cross-functional teams to advance automotive AI capabilities
Zentrale Anforderungen
  • Bachelor’s or Master’s degree in Computer Science, Data Science / Analytics, Computer / Electrical Engineering or similar field
  • Experience in AI/ML design, training and implementation
  • Proficiency with AI frameworks such as PyTorch, TensorFlow, Keras
  • Python programming and data pre-/post-processing
  • Experience deploying AI models using LLM-related models; automotive deployment is a plus
  • Knowledge of CI/CD environments, Docker, scripting, and build/deploy automation
  • Hands-on attitude and ability to integrate into a high-performance team
  • Proficiency in English; German/Chinese is an advantage
  • Hands-on attitude
  • Positive engagement
  • Team-oriented
  • PyTorch
  • TensorFlow
  • Keras
NOTE / HINWEIS:
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DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München

    Einsatzort:

    Dusseldorf (Germany) or Hague (Netherlands)
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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