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.
Qualifications :
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
Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Experience : years
Vacancy : 1
Machine Learning Engineer • Berlin, Berlin, Germany