(Senior) Machine Learning Platform/Ops Engineer, Remote/Europe (f/m/x) at AUTO1 Group


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AUTO1 Group is Hiring

Job Info:
  • Company AUTO1 Group
  • Position (Senior) Machine Learning Platform/Ops Engineer, Remote/Europe (f/m/x)
  • Location Berlin, Germany
  • Source SmartRecruiters
  • Published November 14, 2025(45+ days ago)
  • Category Development
  • Type Full-Time
  • Experience Senior


Job Description

  • Own the ML lifecycle: Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and real-time settings.
  • Operationalize models at scale: Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store.

  • Automate and monitor: Set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance (including model/data drift, feature logging, and inference latency).

  • Accelerate experimentation: Develop and maintain internal libraries, templates, and platform tooling to improve reproducibility and simplify deployment workflows for all model teams.

  • Ensure reliability and quality: Implement CI/CD pipelines for model and data workflows using Docker, Terraform, and Jenkins and share best practices, mentor less experienced engineers, and foster strong collaboration across teams.

  • Stay current: Continuously evaluate emerging MLOps technologies to improve efficiency, scalability, and reliability.

 

  • Hands-on MLOps experience: 2+ years production experience operationalizing, deploying, monitoring, and maintaining ML models at scale.
  • Tooling: Proficient with infrastructure-as-code, CI/CD systems (Docker, Terraform, Jenkins, or equivalent), and at least one major cloud provider (AWS, GCP, or Azure).
  • Programming: Strong Python skills (including ML libraries such as scikit-learn, LightGBM, PyTorch, TensorFlow; plus experience with SQL).
  • Monitoring: Familiar with monitoring and logging for ML pipelines (model drift detection, data validation, performance/feature logging).
  • Collaboration: Effective communicator with experience partnering across engineering and data science.
  • Bonus: Experience with feature stores, model version management, or building internal ML platforms.

 

  • Working from home: you can work from home up to 5 days a week

  • International teams

  • Educational budget to support your continuous learning and development

  • Personal growth with the contribution of own ideas

  • Exciting team events like Hackathons to foster collaboration and innovation

  • Discounts at Autohero, our platform for high-quality used cars

 

Contact
Marija Dimitrova

 

At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.

 

 

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