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Own the ML lifecycle:
- Design, implement, and maintain robust, containerized, and reproducible pipelines for model training.
- Evaluate and deployment—across both batch and real-time settings.
- Operationalize models at scale.
Operationalize models at scale:
- Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow.
- Build and manage ML services, APIs, and model serving infrastructure using tools like Amazon SageMaker.
- Build and manage ML services, APIs, and model serving infrastructure using tools like Feature Store.
AUTO1 Group
AUTO1 Group Technology drives innovation in the used car market across Europe. They operate at the intersection of software engineering, data science, and DevOps, helping bring state-of-the-art ML models—such as large-scale recommendation systems and transformer-based neural networks—safely into production.