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 robust 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

📌 Senior Machine Learning Engineer (Toronto)
🏢 Astra North Infoteck
📍 Toronto