Senior ML Engineer: Azure ML, Databricks & 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

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.