Machine Learning DevOps (Cloud and Compute Cluster, R&D Support)

Join one of the hottest AI startups in France as a Machine Learning DevOps. In this role, you will be responsible for managing and automating processes in our cloud-based development and production environment. You will optimize infrastructure for ML training and inference, automate and maintain ML pipelines, manage model versioning, and monitor model performance in production. This position offers an intellectually stimulating work environment, exciting career prospects, and an inclusive workplace culture.

• Automatiser et maintenir les pipelines d'apprentissage automatique, y compris l'ingestion de données, l'entraînement, la validation et le déploiement.
• Gérer la versioning des modèles, la reproductibilité et la traçabilité, et mettre en œuvre des pratiques CI/CD centrées sur l'apprentissage automatique.
• Collaborer avec des ingénieurs en apprentissage automatique, des ingénieurs logiciels et des équipes de plateforme pour opérationnaliser les modèles d'apprentissage automatique.
• This position holds a minimum requirement of a BSc in Computer Science or Information Technology
• Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch)
• Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow)
• Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki)
• Very good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool
• Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.)
• Cloud infrastructure knowledge (AWS, GCP, Azure) – especially in ML services (e.g., SageMaker Hyperpod, Vertex AI)
• Experience with cluster administration and Linux
• Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes)
• Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit)
• Willingness to learn