- Design implement and maintain robust reproducible and containerized model training and inference pipelinesboth batch and real-timein 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
Qualifications :
- 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
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
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.
#LI-A1
Remote Work :
Yes
Employment Type :
Full-time