MLOps / AI Platform Engineer
Core
Build and evolve the AI platform for the Data Science team, focusing on software foundations, cloud infrastructure, and MLOps to support generative AI, computer vision, and machine learning solutions.
Role type
MLOps / AI Platform Engineer
Builds
Production-ready AI applications, ML models, and cloud infrastructure for supply chain and operations
Domain
Luxury retail (watchmaking/jewelry) + Cloud & Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Git, SQL, CI/CD practices, software architecture, cloud development
Preferred skills
Azure DevOps, Databricks, Azure, Docker, Pytest, REST APIs, MLOps, MLflow, Unity Catalog, Infrastructure as Code, AI agent management, model monitoring, identity and permission management
Technologies
Azure, Databricks, Unity Catalog, SQL, Python, Git, Docker, Azure DevOps
Responsibilities
Define and implement Python library packaging, versioning, and distribution standards; design and maintain CI/CD pipelines; evaluate and improve dependency/environment management tools; administer production databases for performance and scalability; develop internal applications and cloud interfaces; industrialize ML retraining, deployment, and monitoring processes; develop robust testing strategies for libraries, applications, and workflows
Seniority
Mid-Senior, hands-on IC
