Senior Machine Learning Systems Engineer (CAD)
PointClickCare4 hours ago
Mississauga, CanadaSenior
Responsibilities
- Translate ML needs into reliable, reusable platform capabilities with product and engineering teams.
- Design and build scalable data and ML pipelines for model training, evaluation, deployment, and serving.
- Develop and maintain MLOps tooling and workflows, including model CI/CD, model registries, feature stores, and experiment tracking.
- Ensure production reliability, observability, and performance through monitoring, alerting, and automated remediation.
- Implement authentication, role-based access control, audit logging, compliance monitoring, and other ML platform security mechanisms.
- Integrate the platform securely with existing systems, APIs, and data sources while optimizing infrastructure for cost, performance, and scale.
- Mentor engineers and promote reusable platform patterns and best practices.
Requirements
- Expert-level Python and Java skills with strong software engineering fundamentals.
- Experience designing and building ML platforms and MLOps workflows, including 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 is preferred.
- Familiarity with Azure Machine Learning components and Databricks processing and serverless environments is preferred.
- Experience implementing security at scale, including role-based access control, multi-factor authentication, network security practices, and compliance monitoring is preferred.
- Experience optimizing large-model training and inference, including LLM serving, for performance and cost is preferred.
Benefits
- Benefits start from Day 1.
- Retirement plan matching.
- Flexible paid time off.
- Wellness support programs and resources.
- Parental and caregiver leaves.
- Fertility and adoption support.
- Continuous development support program.
- Employee assistance program.
- Allyship and inclusion communities.
- Employee recognition programs.
- Hybrid role requiring residence within commutable distance of the specified office and periodic office attendance; remote-role events may require travel to the Mississauga and/or Salt Lake City offices.
Tech Stack
Categories
About PointClickCare
PointClickCare builds a cloud-based EHR and care coordination platform for long-term and post-acute care providers, hospitals, and health plans. Its subscription SaaS covers clinical documentation, eMAR and point-of-care workflows, interoperability, and revenue cycle, and supports a marketplace of integrated partners. Founded in 2000 and headquartered in Toronto, it is privately held and serves over 27,000 providers across North America.