Dein persönlicher KI-Karriere-Agent
AI/ML Ops Engineer (18-month Leased Labor)(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
- Chinesisch – Grundkenntnisse
Tools & Technologien
- PyTorch
- TensorFlow
- Keras
- Python
- Docker
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in canteen
Weiterbildungsangebote
- Training opportunities
- Language courses (German, Mandarin)
- Knowledge exchange
Lockere Unternehmenskultur
- Diverse and welcoming environment
- Team spirit
Sinnstiftende Arbeit
- Self-responsible work
Karriere- und Weiterentwicklung
- Global network
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AI/ML Ops Engineer (18-month Leased Labor)(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
- Chinesisch – Grundkenntnisse
Tools & Technologien
- PyTorch
- TensorFlow
- Keras
- Python
- Docker
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in canteen
Weiterbildungsangebote
- Training opportunities
- Language courses (German, Mandarin)
- Knowledge exchange
Lockere Unternehmenskultur
- Diverse and welcoming environment
- Team spirit
Sinnstiftende Arbeit
- Self-responsible work
Karriere- und Weiterentwicklung
- Global network
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Huawei Research Center Germany
Branche
Automotive
Beschreibung
Huawei is a leading global ICT solutions provider advancing innovation in information and communications technology.
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