search Browse Jobs
Senior Machine Learning Systems Engineer (CAD)PointClickCare · Mississauga
PointClickCare logo

PointClickCare

company page ↗

Senior Machine Learning Systems Engineer (CAD)

🗓️ Posted 2026-09-22 Mississauga Full-Time Hybrid ICT
💰 Salary Not shared 📊 Market 10,833 CAD–15,833 CAD/mo

About the Company

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey

Responsibilities

  • ● Collaborate with product and engineering teams to translate ML needs into reliable, reusable platform capabilities.
  • ● Design and build scalable data and ML pipelines that support model training, evaluation, deployment, and serving.
  • ● Develop and maintain ML Ops tooling and workflows, including CI/CD for models, model registry, feature stores, and experiment tracking.
  • ● Ensure the reliability, observability, and performance of ML systems in production through monitoring, alerting, and automated remediation.
  • ● Implement comprehensive security mechanisms for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring.
  • ● Securely integrate the platform with existing systems, APIs, and data sources with secure communication protocols, and optimize infrastructure for cost, performance, and scale.
  • ● Mentor engineers on the teams and promote reusable platform patterns and best practices.

Requirements

  • ● Expert level in Python and Java, and strong software engineering fundamentals.
  • ● Bachelor's degree or higher in Computer Science, Machine Learning, or a related field.
  • ● Working familiarity with Azure Machine Learning components and Databricks processing and serverless environments