Senior Machine Learning Engineer – Azure ML, Databricks, MLflow & MLOps

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Astra-North Infoteck Inc. is seeking an experienced Senior Machine Learning Engineer to support the AI CoE. You will lead end‑to‑end ML initiatives across data prep, feature engineering, model development, deployment and monitoring in cloud environments.

You will work with data scientists and engineers to productionize models, build scalable ML pipelines, and integrate ML solutions into enterprise workflows; experience with GenAI is a plus.

Qualifications

• Strong hands‑on experience building, deploying, and operationalizing ML solutions in cloud environments.
• Expert knowledge of SQL and Python.
• Deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle management.
• Experience taking models from prototype to production, building scalable ML pipelines and services.
• Experience with cloud‑native ML platforms, automated deployment processes, and production support.
• Knowledge of Generative AI, GenAI/Ops is a plus.

Responsibilities

• Deliver end‑to‑end ML solutions including data preparation, feature engineering, model development, deployment, and monitoring.
• Operate and productionize ML models within enterprise applications and workflows.
• Collaborate with data scientists and engineers to accelerate enterprise AI delivery from PoC to production.

Skills

SQL

Python

Azure ML

Databricks

MLflow

CI/CD pipelines

MLOps

model deployment

monitoring

lifecycle management

data preparation

feature engineering

production deployment

Tools

Azure ML

Databricks

MLflow

Job description

Skills and Responsibilities:

• We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE’s 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.