Dein persönlicher KI-Karriere-Agent
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Designing and deploying ML pipelines for model training and real-time inference on a digital automotive platform. 2+ years MLOps experience with IaC, CI/CD, and major cloud provider proficiency required. Educational budget for development, Autohero discounts.
Anforderungen
- Hands-on MLOps experience of 2+ years
- Proficiency with infrastructure-as-code, CI/CD systems (Docker, Terraform, Jenkins, or equivalent), and at least one major cloud provider (AWS, GCP, or Azure)
- Strong Python skills including ML libraries (scikit-learn, LightGBM, PyTorch, TensorFlow) and SQL
- Familiarity with monitoring and logging for ML pipelines
- Effective communication and collaboration skills
- Experience with feature stores, model version management, or building internal ML platforms
Aufgaben
- Design and implement robust ML pipelines
- Maintain reproducible pipelines for model training
- Deploy models in batch and real-time settings
- Build and manage ML services and APIs
- Set up monitoring and alerting systems
- Ensure high availability and performance
- Develop internal libraries and templates
- Simplify deployment workflows for model teams
- Implement CI/CD pipelines for model workflows
- Share best practices and mentor junior engineers
- Evaluate emerging MLOps technologies
Berufserfahrung
- 2 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Docker
- Terraform
- Jenkins
- AWS
- GCP
- Azure
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Sonstige Zulagen
- Educational budget for development
Sonstige Vorteile
- Personal growth with own ideas
Team Events & Ausflüge
- Exciting team events
Mitarbeiterrabatte
- Discounts at Autohero
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(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Designing and deploying ML pipelines for model training and real-time inference on a digital automotive platform. 2+ years MLOps experience with IaC, CI/CD, and major cloud provider proficiency required. Educational budget for development, Autohero discounts.
Anforderungen
- Hands-on MLOps experience of 2+ years
- Proficiency with infrastructure-as-code, CI/CD systems (Docker, Terraform, Jenkins, or equivalent), and at least one major cloud provider (AWS, GCP, or Azure)
- Strong Python skills including ML libraries (scikit-learn, LightGBM, PyTorch, TensorFlow) and SQL
- Familiarity with monitoring and logging for ML pipelines
- Effective communication and collaboration skills
- Experience with feature stores, model version management, or building internal ML platforms
Aufgaben
- Design and implement robust ML pipelines
- Maintain reproducible pipelines for model training
- Deploy models in batch and real-time settings
- Build and manage ML services and APIs
- Set up monitoring and alerting systems
- Ensure high availability and performance
- Develop internal libraries and templates
- Simplify deployment workflows for model teams
- Implement CI/CD pipelines for model workflows
- Share best practices and mentor junior engineers
- Evaluate emerging MLOps technologies
Berufserfahrung
- 2 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Docker
- Terraform
- Jenkins
- AWS
- GCP
- Azure
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Sonstige Zulagen
- Educational budget for development
Sonstige Vorteile
- Personal growth with own ideas
Team Events & Ausflüge
- Exciting team events
Mitarbeiterrabatte
- Discounts at Autohero
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
AUTO1 Group
Branche
Automotive
Beschreibung
AUTO1 Group ist Europas führende digitale Automobilplattform. Als dynamisches Tech-Unternehmen revolutionieren wir mit unseren Marken wirkaufendeinauto.de, AUTO1.com und Autohero die Automobilbranche.
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