MLOps Engineer: Hybrid Azure & Databricks AI Pipelines

Abbeal; Montreal; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Abbeal is seeking an MLOps developer to industrialize and operate classic, generative and agentic AI solutions on Azure and Databricks for a major public energy player in Quebec. Montreal-based with hybrid work depending on the mandate; deliverables in French.

You will implement MLflow pipelines, model registries and deployment, and lead CI/CD, IaC, and security practices across the ML lifecycle.

Qualifications

• Experience with MLflow for experiment tracking, model registry, packaging and deployment.
• Experience building training, validation, batch and real-time inference pipelines.

Responsibilities

• 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.

Skills

Python / PySpark

MLflow

Tools

Terraform

Job description

Abbeal is seeking an MLOps developer to industrialize and operate classic, generative and agentic AI solutions on Azure and Databricks for a major public energy player in Quebec. Montreal-based with hybrid work depending on the mandate; deliverables in French.

You will implement MLflow pipelines, model registries and deployment, and lead CI/CD, IaC, and security practices across the ML lifecycle.