Senior Machine Learning Systems Engineer (CAD)

PointClickCareMississauga, OntarioOn-siteFull-timeSenior, 5–8 yearsListed 3 hours ago

Apply now

About 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-Hybrid

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.

At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $154,000-$193, 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