Sr. Machine Learning Ops Engineer

Sr. Machine Learning Ops Engineer focuses on leading deployment and operationalization of ml models and genai/agentic solutions, ensuring scalability, reliability, and performance.

What the role involves

• Leading deployment and operationalization of ML models and GenAI/agentic solutions, ensuring scalability, reliability, and performance.
• Own KTLO (keep-the-lights-on) operations for ML and GenAI systems including health monitoring, logging, and performance tracking.
• Design and implement pipelines for batch, real-time, and event-driven inference.
• Ensure secure deployment of applications with proper access controls (e.g., Okta integration).
• Driving cost and performance optimization across ML and GenAI workloads.
• Hands-on expertise with CI/CD pipelines, monitoring, and production ML systems.

Skills and requirements

• Degree or equivalent and typically requires 7+ years of relevant experience.
• Experience with Databricks ecosystem (e.g., Databricks Genie).
• Experience implementing secure enterprise applications (e.g., Okta).
• Experience in healthcare or regulated environments.

Confirmed role details

• This position follows our Flex & Connect model of 2x per week Onsite in Mississauga, ON.