Senior ML Engineer - Azure MLOps & Production

Russell Tobin; Toronto; Híbrido; CAD 129.000 - 203.000; Jornada completa

Descripción de la vacante

Russell Tobin is seeking a Senior Machine Learning Engineer in Toronto to deploy and operationalize advanced ML/AI solutions within a modern MLOps framework.

The role emphasizes building scalable deployment patterns, monitoring, and automation, with responsibilities spanning data preparation, model evaluation, and production troubleshooting. Hybrid work requires three days onsite and close collaboration with public-sector clients.

Formación

• Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.
• Strong Python and ML engineering skills with proven production deployment experience.
• Tech stack includes Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.

Responsabilidades

• Deploy, integrate, monitor, and operationalize AI/ML solutions using MLOps practices.
• Establish reusable deployment patterns, tooling, monitoring, and automation for scalable AI solutions.
• Develop and train ML models from data and define evaluation metrics to track progress.
• Ensure data quality and assist data acquisition/validation to support model performance.

Conocimientos

Azure ML

MLOps

CI/CD

Python

SQL

Power BI

Containers

APIs

Model deployment

Jira

Databricks

Monitoring

Statistics

Data cleaning

Herramientas

Azure ML Studio

Azure AI Foundry

Databricks

VSCode

Git

Jira

Power BI

Docker

Descripción del empleo

Russell Tobin is seeking a Senior Machine Learning Engineer in Toronto to deploy and operationalize advanced ML/AI solutions within a modern MLOps framework.

The role emphasizes building scalable deployment patterns, monitoring, and automation, with responsibilities spanning data preparation, model evaluation, and production troubleshooting. Hybrid work requires three days onsite and close collaboration with public-sector clients.