Huawei
Engineer (18-months Leased Labor) - Intelligent Vehicle Dynamics Controls(m/w/x)
Full-timeOn-siteExperienced
München
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HUHuawei Research Center Germany
AI/ML Ops Engineer (18-month Leased Labor)(m/w/x)
München
Full-timeFreelanceOn-siteExperienced
AI/ML
Nejo AI Summary
Automating AI/ML operations and end-to-end pipelines for autonomous driving technologies. Experience with UniAD, SAM, and Dino models required. Healthy meals provided, language courses offered.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science/Analytics, Computer/Electrical Engineering or similar field
- Knowledge in autonomous driving algorithms for driving policies, end-to-end networks, foundational models
- Familiarity with models like UniAD, SAM, Dino, Diffusion model (policy), World model
- Experience in deployment of end-to-end models for automotive
- AI/ML design and implementation experience
- Proficient skills in AI frameworks (PyTorch, TensorFlow, Keras)
- Python programming proficiency
- Data pre-/post-processing skills
- Knowledge in CI/CD environments
- Docker knowledge
- Scripting knowledge
- Build/deploy process automation knowledge
- Hands-on attitude
- Positive engagement
- Ability to integrate into a high-performance team
- English proficiency
- German knowledge is an advantage
- Chinese knowledge is an advantage
Tasks
- Apply state-of-the-art approaches for AI/ML operations
- Set up and maintain end-to-end AI pipelines
- Manage large-scale datasets and deep learning frameworks
- Develop and automate AI engineering lifecycle
- Train models and automate data labeling workflows
- Implement data pre- and post-processing
- Transform, clean, and filter data
- Monitor and optimize GPU resource usage
- Ensure system stability and performance
- Deploy open-source models
- Conduct benchmarks
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
- Chinese – Basic
Tools & Technologies
- PyTorch
- TensorFlow
- Keras
- Python
- Docker
Benefits
Free or Subsidized Food
- Healthy meals in canteen
Learning & Development
- Training opportunities
- Language courses (German, Mandarin)
- Knowledge exchange
Informal Culture
- Diverse and welcoming environment
- Team spirit
Purpose-Driven Work
- Self-responsible work
Career Advancement
- Global network
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei Research Center Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HUHuawei Research Center Germany
AI/ML Ops Engineer (18-month Leased Labor)(m/w/x)
München
Full-timeFreelanceOn-siteExperienced
AI/ML
Nejo AI Summary
Automating AI/ML operations and end-to-end pipelines for autonomous driving technologies. Experience with UniAD, SAM, and Dino models required. Healthy meals provided, language courses offered.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science/Analytics, Computer/Electrical Engineering or similar field
- Knowledge in autonomous driving algorithms for driving policies, end-to-end networks, foundational models
- Familiarity with models like UniAD, SAM, Dino, Diffusion model (policy), World model
- Experience in deployment of end-to-end models for automotive
- AI/ML design and implementation experience
- Proficient skills in AI frameworks (PyTorch, TensorFlow, Keras)
- Python programming proficiency
- Data pre-/post-processing skills
- Knowledge in CI/CD environments
- Docker knowledge
- Scripting knowledge
- Build/deploy process automation knowledge
- Hands-on attitude
- Positive engagement
- Ability to integrate into a high-performance team
- English proficiency
- German knowledge is an advantage
- Chinese knowledge is an advantage
Tasks
- Apply state-of-the-art approaches for AI/ML operations
- Set up and maintain end-to-end AI pipelines
- Manage large-scale datasets and deep learning frameworks
- Develop and automate AI engineering lifecycle
- Train models and automate data labeling workflows
- Implement data pre- and post-processing
- Transform, clean, and filter data
- Monitor and optimize GPU resource usage
- Ensure system stability and performance
- Deploy open-source models
- Conduct benchmarks
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
- Chinese – Basic
Tools & Technologies
- PyTorch
- TensorFlow
- Keras
- Python
- Docker
Benefits
Free or Subsidized Food
- Healthy meals in canteen
Learning & Development
- Training opportunities
- Language courses (German, Mandarin)
- Knowledge exchange
Informal Culture
- Diverse and welcoming environment
- Team spirit
Purpose-Driven Work
- Self-responsible work
Career Advancement
- Global network
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei Research Center Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Huawei Research Center Germany
Industry
Automotive
Description
Huawei is a leading global ICT solutions provider advancing innovation in information and communications technology.
Not a perfect match?
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