Senior Machine Learning Engineer, Europe

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AUTO1 Group

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B2C • Marketplace • Transport

AUTO1 Group est la plateforme automobile numérique leader en Europe pour l’achat et la vente en ligne de voitures d’occasion. Nous offrons aux consommateurs et aux professionnels de l’automobile dans toute l’Europe continentale un moyen simple et rapide de vendre et d’acheter des voitures d’occasion à des prix fixes, sans négociation, via nos plateformes établies. Nous proposons la plus large sélection de voitures d’occasion dans plus de 30 pays, couvrant plus de 80 marques et toutes les gammes de prix. AUTO1 Group a vendu plus de 615 000 véhicules via nos sites et applications en 2019.

5001 - 10000 employés

Fondée en 2012

👥 B2C

🏪 Place de marché

🚗 Transport

💰 Convertible Note en 2020-07

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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