Senior ML Platform Engineer - Scalable AI Systems

PointClickCare; United States; Hybrid; USD 174,000 - 218,000; Full time

Benefits offered by this job

Benefits starting from Day 1!

Retirement Plan Matching

Flexible Paid Time Off

Wellness Support Programs

Job summary

PointClickCare is seeking a Senior Machine Learning Systems Engineer to design, build, and operate the ML platform enabling cross-team ML solutions. You will develop pipelines, tooling, and infrastructure for training, deployment, serving, and monitoring of AI products.

You will work with Product and Engineering, mentor teammates, and help ensure scalable, secure ML systems with cost-aware infrastructure across cloud environments.

Qualifications

• Expert level in Python and Java with strong software engineering fundamentals.
• Experience designing ML platforms and MLOps workflows with relevant tools.
• Experience with cloud platforms (Azure, AWS, GCP) and container orchestration.

Responsibilities

• Collaborate with product and engineering teams to translate ML needs into platform capabilities.
• Design and build scalable data and ML pipelines for training, evaluation, deployment, and serving.
• Develop and maintain ML Ops tooling and workflows, including CI/CD for models and experiment tracking.
• Ensure reliability, observability, and performance of ML systems in production.
• Implement security mechanisms for the ML platform, including access control and compliance monitoring.
• Mentor engineers and promote reusable platform patterns and best practices.

Skills

Python

Java

ML platforms

CI/CD

Education

Bachelor’s degree or higher in Computer Science or ML

Tools

MLflow

Kubeflow

Ray

Docker

Kubernetes

Model-serving frameworks

Job description

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 PointClickCareand 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

$144,000 - $180,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $144,000-$180, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role

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 [e-mail] 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.

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