Senior Machine Learning Engineer – Remote, Europe
AUTO1 Group
AWSAzureCloudDockerJenkinsPythonPyTorchScikit-LearnSQLTensorflowTerraform
Senior Machine Learning Engineer, Europe
AUTO1 Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇪🇺 Anywhere in Europe
Visit company websiteSalary
💰 €19,000 - €70,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDockerJenkinsPythonPyTorchScikit-LearnSQLTensorflowTerraform
About the role
- Design, implement, and maintain robust, reproducible, and containerized model training and inference pipelines—both batch and real-time—in close collaboration with Data Scientists, leveraging tools such as MLflow, SageMaker, and Feature Store
- Translate business needs into ML solutions and engage in research and development to deliver fully-fledged services
- Ensure ML services are modular, testable, and well-monitored from day one
- Define and implement monitoring, observability, and alerting for ML production systems (detecting model drift, monitoring data quality, feature usage, and real-time performance)
- Contribute to internal Python libraries and platform tooling to accelerate experimentation, reproducibility, and deployment for all model teams.
- Mentor junior engineers and data scientists, fostering a culture of best practices in engineering
Requirements
- Experience in deploying, maintaining, and updating ML models in production and a min. 2 years proven practical experience as a Machine Learning Engineer or similar role
- Hands-on experience with a range of machine learning techniques and the ability to identify the appropriate technique in different scenarios
- Familiarity with cloud-based infrastructure and services, such as AWS, Google Cloud, or Azure, for the deployment and scaling of machine learning models
- Proficient in SQL, Python, and specialized ML libraries (Sklearn, LightGBM, PyTorch, Tensorflow, etc)
- Experience in CI/CD using Docker, Terraform and Jenkins and familiarity with monitoring, observability, and alerting systems for ML pipelines
- Strong communication skills and a collaborative mindset
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
machine learningmodel trainingmodel inferencePythonSQLSklearnLightGBMPyTorchTensorflowCI/CD
Soft skills
communicationcollaborationmentoring