Industrialize classic, generative and agentic AI solutions on Azure and Databricks for a major public energy player in Quebec. MLflow Python / PySpark Terraform 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, workplace management Pipeline instrumentation and monitoring Security, traceability, secrets management, quality controls Reusable libraries, templates and accelerators 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.

📌 MLOps Developer (Winnipeg)
🏢 Abbeal
📍 Winnipeg