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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.
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
- Effective communication and collaboration skills
- 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
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Additional Allowances
- Educational budget for development
Other Benefits
- Personal growth with own ideas
Team Events
- Exciting team events
Corporate Discounts
- 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.
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
- Effective communication and collaboration skills
- 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
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Additional Allowances
- Educational budget for development
Other Benefits
- Personal growth with own ideas
Team Events
- Exciting team events
Corporate Discounts
- Discounts at Autohero
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AUTO1 Group
Industry
Automotive
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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