Devops/ MLOps Engineer Ref. 006078
il y a 2 semaines
Mission :
- Automatiser et monitorer les pipelines de ML en production (CI/CD pour modèles).
- Industrialiser les workflows de data processing, d'entraînement et de déploiement.
- Collaborer avec les équipes Data Science pour garantir la scalabilité et la performance des solutions.
- Sécuriser l'infrastructure ML (gestion des accès, coûts, versioning).
Profil recherché :
- 5 à 7 ans d'expérience
- Expérience confirmée en MLOps avec des outils comme Docker, Kubernetes, Airflow ou MLflow.
- Maîtrise des plateformes cloud (AWS, GCP, Azure) et des concepts DevOps (IaC, Terraform).
- Compétences en scripting (Python, Bash) et monitoring (Prometheus, Grafana).
- Connaissances en Machine Learning pour comprendre les besoins des data scientists.
- Certifications cloud ou MLOps (ex : AWS Certified ML Specialty) appréciées.
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