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(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
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.
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 (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
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
- Python
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Flexibles Arbeiten
- Working from home up to 5 days a week
Weiterbildungsangebote
- Educational budget for continuous learning
Sonstige Vorteile
- Personal growth with own ideas
Team Events & Ausflüge
- Exciting team events like Hackathons
Mitarbeiterrabatte
- Discounts at Autohero
Noch nicht perfekt?
- AUTO1 GroupVollzeitmit HomeofficeBerufserfahrenBerlin
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(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
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.
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 (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
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
- Python
- scikit-learn
- LightGBM
- PyTorch
- TensorFlow
- SQL
Benefits
Flexibles Arbeiten
- Working from home up to 5 days a week
Weiterbildungsangebote
- Educational budget for continuous learning
Sonstige Vorteile
- Personal growth with own ideas
Team Events & Ausflüge
- Exciting team events like Hackathons
Mitarbeiterrabatte
- Discounts at Autohero
Über das Unternehmen
AUTO1 Group
Branche
Other
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.
Noch nicht perfekt?
- AUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - AUTO1 Group
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Vollzeitmit HomeofficeBerufserfahrenBerlin - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - GetYourGuide
Senior ML Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin