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

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.

Qualifications

• 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.

Additional Information

• 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

Maryam Anwar

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.