Senior Machine Learning Engineer

Senior Machine Learning Engineer Toronto, ON (3 Days WFO) Role Description: Senior Machine Learning Engineer who can work independently| collaborate effectively with data scientists and engineers| and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment. Essential Skills: Experienced Senior Machine Learning Engineer to support the AI CoEs Machine Learning and Data Science initiatives.

The ideal candidate will have strong hands-on experience building| deploying| and operationalizing machine learning solutions in cloud environments| with expert knowledge of SQL and Python and deep experience with Azure ML| Databricks| MLflow| CI/CD pipelines| MLOps| model deployment| monitoring| and lifecycle management . This is a highly technical| hands-on role focused on delivering end-to-end ML solutions| including data preparation| feature engineering| model development| deployment| monitoring| and ongoing production support .

The role requires proven experience taking models from prototype to production| building scalable ML pipelines and services| and integrating machine learning solutions into enterprise applications and operational workflows. Experience with cloud-native ML platforms| automated deployment processes| and production support is essential. Experience with Generative AI| LLM applications| agentic AI frameworks| and GenAIOps practices including evaluation| monitoring| deployment| and lifecycle management of GenAI solutions would be considered an asset.

In addition to technical depth| we are looking for someone who can work independently| collaborate effectively with data scientists and engineers| and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment. Desirable Skills: Machine Learning Azure Machine Learning (ML) Experience Required: 8-10 years