PointClickCare - (Canada) Principal ML System Engineer
Requirements
• Expert level in Python and Java with strong software engineering fundamentals. • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents. • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes). • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making • Demonstrable history of leading and sustaining build out of critical cross-team systems • 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. • $158,000 - $198,000 a year • 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 $158,000-$198 000 (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 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. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ------ • Recruitment Fraud Notice: • PointClickCare is committed to providing a safe and secure recruitment experience for all candidates. • Please be aware that: • All PointClickCare employment opportunities are posted on our official careers website. • PointClickCare will never ask candidates to pay fees, purchase equipment, transfer money, or provide banking information during the recruiting process. • Our recruiters communicate through official PointClickCare email addresses. • Employment offers are only made following a formal interview and selection process. • As part of our commitment to hiring security, candidates may be asked to verify their identity during the interview and onboarding process. • Protect your information. If something feels suspicious, verify it before proceeding.
Responsibilities
• Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform. • Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon. • Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components. • Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation. • Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams. • Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale. • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
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 … 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.
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