AUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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AUAUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and deploying predictive model pipelines for batch and real-time inference at a digital automotive platform. Hands-on MLOps experience of 2+ years, with IaC, CI/CD, and cloud proficiency required. Full remote work flexibility.
Requirements
- 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 (model drift detection, data validation, performance/feature logging)
- Effective communication skills and experience partnering across engineering and data science
- Experience with feature stores, model version management, or building internal ML platforms
Tasks
- 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
Work Experience
- 2 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- Terraform
- Jenkins
- AWS
- GCP
- Azure
- Python
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Flexible Working
- Working from home up to 5 days a week
Learning & Development
- Educational budget for continuous learning
Other Benefits
- Personal growth with own ideas
Team Events
- Exciting team events like Hackathons
Corporate Discounts
- Discounts at Autohero
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AUTO1 Group 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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AUAUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and deploying predictive model pipelines for batch and real-time inference at a digital automotive platform. Hands-on MLOps experience of 2+ years, with IaC, CI/CD, and cloud proficiency required. Full remote work flexibility.
Requirements
- 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 (model drift detection, data validation, performance/feature logging)
- Effective communication skills and experience partnering across engineering and data science
- Experience with feature stores, model version management, or building internal ML platforms
Tasks
- 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
Work Experience
- 2 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- Terraform
- Jenkins
- AWS
- GCP
- Azure
- Python
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Flexible Working
- Working from home up to 5 days a week
Learning & Development
- Educational budget for continuous learning
Other Benefits
- Personal growth with own ideas
Team Events
- Exciting team events like Hackathons
Corporate Discounts
- Discounts at Autohero
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AUTO1 Group 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.
About the Company
AUTO1 Group
Industry
Other
Description
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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