Senior Machine Learning Systems Engineer (US)

PointClickCare

14h • $174,000 - $218,000 • Remote

About The Position

At PointClickCare, our mission is to help providers deliver exceptional care, starting with our people. As a leading, founder-led, and privately held health tech company, we empower employees to innovate and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of over 400 integrated partners, our platform serves over 30,000 provider organizations, impacting millions of lives. We reinvest a significant percentage of our revenue into research and development, providing employees with 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. 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. This includes 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. Join us in redefining healthcare — so it doesn’t just survive, it thrives.

Requirements

• Expert level in Python and Java, and strong software engineering fundamentals.
• Experience designing and building ML platforms and MLOps workflows, with familiarity with tools such as MLflow, Kubeflow, Ray, and model-serving frameworks.
• Experience with cloud platforms (Primarily Azure, secondarily AWS and GCP)
• Experience with ML runtime containerization, optimization, and orchestration (Docker, Kubernetes).

Nice To Haves

• 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
• Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
• Experience optimizing large model training and inference (including LLM serving) for performance and cost.

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.

Benefits

• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• Continuous Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities
• Employee Recognition

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree