The Role
Designs, builds, and operates scalable machine learning platforms, pipelines, and infrastructure for model training, deployment, serving, and monitoring. Develops MLOps tooling, CI/CD workflows, model registries, feature stores, and experiment tracking. Ensures production reliability, observability, security, compliance, and cost efficiency across ML systems. Collaborates with product and engineering teams, integrates platforms with existing systems and data sources, and mentors engineers on reusable ML platform practices.
Summary Generated by Built In
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.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across PointClickCare to develop, deploy, and scale ML solutions. The Senior AI Machine Learning Systems Engineer will also build and maintain the pipelines, tooling and infrastructure for model training, deployment, serving, and monitoring that underpin our AI products.
Key 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.
Qualifications & Skills
- 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).
Preferred
- 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.
#LI-AV1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
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 … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
Skills Required
- Expert-level proficiency in Python
- Expert-level proficiency in Java
- Strong software engineering fundamentals
- Experience designing and building machine learning platforms and MLOps workflows
- Familiarity with MLflow, Kubeflow, Ray, and model-serving frameworks
- Experience with cloud platforms, primarily Azure and secondarily AWS and GCP
- Experience with ML runtime containerization, optimization, and orchestration using Docker and Kubernetes
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related field
- Familiarity with Azure Machine Learning components and Databricks processing and serverless environments
- Experience implementing security at scale, including role-based access control, multifactor authentication, network security, and compliance monitoring
- Experience optimizing large-model training and inference, including LLM serving, for performance and cost
PointClickCare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PointClickCare and has not been reviewed or approved by PointClickCare.
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Healthcare Strength — Health and dental coverage appear robust, with wellness and assistance programs reinforcing core medical benefits. Coverage quality stands out relative to other benefit elements.
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Leave & Time Off Breadth — PTO and paid holidays are characterized as generous, and flexible work-from-home options are widely available. Occasional extras like summer half‑day Fridays further expand time-off flexibility.
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Flexible Benefits — A customizable mix is evident through remote/hybrid arrangements, day-one eligibility, and a lifestyle or personal spending account. Benefits such as wellness credits and support resources can be tailored to individual needs.
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The Company
What We Do
PointClickCare is the market leader driving the transformation of healthcare vulnerable and complex populations through a broad, connected care network powered by deep insights with a commitment to value, outcomes and innovation. We connect post-acute and acute care settings, people and systems like no other company. Our steadfast commitment to our culture and to providing growth opportunities to our employees is evidenced by recent recognition of PointClickCare as one of Canada’s best-managed companies and most admired corporate cultures.
