Title: Machine Learning Engineer Location: Toronto, ON Hybrid Duration: 06-12 months Job Description: Join our team as a Senior Machine Learning Engineer, where you''ll work independently and collaborate effectively with data scientists and engineers to accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

Required Skills & Qualifications Robust hands-on experience building, deploying, and operationalizing machine learning 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.

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.

Prior work experience at client or in client''s Industry.

Preferred Skills & Qualifications Experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps practices including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions.

Day-to-Day Responsibilities Deliver end-to-end ML solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support.

Collaborate with data scientists and engineers to support AI CoEs Machine Learning and Data Science initiatives.

Help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

📌 Information Technology_CAN - CAN_Engineer (Toronto)
🏢 Artech
📍 Toronto