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, setting 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 (Montreal)
🏢 Abbeal
📍 Montreal