Senior ML Engineer - MLOps & Production on Azure

Altis; Toronto; Hybrid; CAD 156,000 - 246,000; Full time

Job summary

Altis is seeking a hands-on Senior Machine Learning Engineer to design, deploy, and monitor ML models and MLOps pipelines using Azure ML and Foundry, bridging experimentation and production.

This six-month hybrid role in Toronto, Canada, offers production-scale opportunities, collaboration with cross-functional teams, and exposure to Azure AI Foundry, CI/CD, containerized deployments, and model observability.

Qualifications

• Hands-on ML engineering with production deployments.
• Strong Azure ML and Foundry/Azure AI Foundry expertise; CI/CD and MLOps.
• Proficient in Python, SQL; data prep and feature engineering.

Responsibilities

• Design, develop, deploy, and operationalize ML/ DL models using Azure ML and Foundry.
• Build reusable MLOps pipelines, CI/CD workflows, containers, APIs, and automation for deployments.
• Establish monitoring, drift detection, retraining, and performance optimization.
• Collaborate with stakeholders to translate business goals into scalable AI solutions.
• Support data prep, quality assurance, experimentation, and priority management.

Skills

Azure ML

MLOps

CI/CD

Python

SQL

Databricks

Tools

Databricks

Power BI

VS Code

Git

Jira

Job description

Altis is seeking a hands-on Senior Machine Learning Engineer to design, deploy, and monitor ML models and MLOps pipelines using Azure ML and Foundry, bridging experimentation and production.

This six-month hybrid role in Toronto, Canada, offers production-scale opportunities, collaboration with cross-functional teams, and exposure to Azure AI Foundry, CI/CD, containerized deployments, and model observability.