AUTO1 Group

Senior Machine Learning Platform/Ops Engineer, Europe

AUTO1 Group

full-time

Posted on:

Location Type: Remote

Location: Anywhere in Europe

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJenkinsPythonPyTorchScikit-LearnSQLTensorflowTerraform

About the role

  • 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

Requirements

  • 2+ years production experience operationalizing, deploying, monitoring, and maintaining ML models at scale
  • Proficient 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 such as scikit-learn, LightGBM, PyTorch, TensorFlow; plus experience with SQL)
  • Familiar with monitoring and logging for ML pipelines (model drift detection, data validation, performance/feature logging)
  • Effective communicator with experience partnering across engineering and data science
  • Bonus: Experience with feature stores, model version management, or building internal ML platforms
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmodel deploymentmodel monitoringCI/CDinfrastructure-as-codePythonSQLscikit-learnLightGBMPyTorch
Soft Skills
effective communicationcollaborationmentoring