MLOps Developer (Azure / Databricks / MLflow), energy sector, Montreal (hybrid)

Context

A major public energy player in Quebec is launching a multi-year AI services program through a North American integration partner. In this context, we are looking for an MLOps developer to industrialize and operate classic, generative and agentic AI solutions on Azure and Databricks.

Your missions

• Experiment tracking, model registry, packaging and deployment with MLflow
• Training, validation, batch and real-time inference and deployment pipelines
• MLOps, LLMOps and AgentOps practices: CI/CD, automation, infrastructure as code, environment management
• Pipeline instrumentation and monitoring
• Security, traceability, secrets management, quality controls
• Reusable libraries, templates and accelerators

Tech environment

Microsoft Azure, Azure Databricks, Mosaic AI, Azure AI Foundry, Azure OpenAI, MLflow, Unity Catalog, Azure Data Factory, Terraform, Azure DevOps, Python, SQL, PySpark, LangChain, LangGraph.

Terms

Montreal, hybrid depending on the mandate. Day schedule. Working language for deliverables: French. Mandate executed under a multi-year framework agreement, duration and start date per statement of work.