Machine Learning Engineer

Join Enfuce as a Machine Learning Engineer, where you will build and maintain the infrastructure and platforms for machine learning and generative AI solutions. You will work closely with Data Scientists and Data Engineers, owning the production lifecycle of ML systems and establishing MLOps best practices across the organization. This role involves working with cloud-native technologies and production-grade AI systems in the financial services domain.

• Concevoir, construire et maintenir une infrastructure MLOps évolutive pour les applications d'apprentissage automatique et d'IA générative.
• Développer des pipelines automatisés de formation, de validation, de test, de déploiement et d'intégration continue/déploiement continu pour les modèles d'apprentissage automatique.
• Surveiller les systèmes ML en production, y compris la performance des modèles, la qualité des données, la détection des dérives, la latence et la santé globale du système.
• Strong understanding of the end-to-end machine learning lifecycle, including experimentation, deployment, monitoring, retraining, and governance
• Experience with Docker, containerized ML workloads, and container orchestration platforms such as Kubernetes
• Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, or a related field
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including production monitoring and observability
• Experience with Git, software engineering best practices, and Infrastructure as Code (e.g., Terraform or CloudFormation)
• Experience deploying LLM or Generative AI applications is a strong advantage, along with excellent problem-solving, communication, and collaboration skills
• Experience with MLflow for experiment tracking, model registry, versioning, and model lifecycle management
• Familiarity with feature stores, model registries, artifact repositories, and modern MLOps practices
• Experience with modern ML platforms such as Snowflake, dbt, Snowpark ML, Vertex AI, or Amazon SageMaker
• Strong Python programming skills and proficiency with SQL