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(Senior) Machine Learning PlatformOps Engineer, RemoteEurope (fmx)
(Senior) Machine Learning PlatformOps Engineer, RemoteEurope (fmx)AUTO1 Group • Berlin, Berlin, Germany
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(Senior) Machine Learning PlatformOps Engineer, RemoteEurope (fmx)

(Senior) Machine Learning PlatformOps Engineer, RemoteEurope (fmx)

AUTO1 Group • Berlin, Berlin, Germany
Vor 30+ Tagen
Anstellungsart
  • Homeoffice
Stellenbeschreibung

Job Description

Own the ML lifecycle: Design implement and maintain robust containerized and reproducible pipelines for model training evaluation and deploymentacross 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.

#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
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Senior Machine Learning PlatformOps Engineer RemoteEurope fmx • Berlin, Berlin, Germany

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