Senior Machine Learning Systems Engineer

About the role

The Senior Machine Learning Systems Engineer will partner with product and engineering teams to design, build, and operate PointClickCare’s machine‑learning platform. This platform enables teams across the organization to develop, deploy, and scale AI solutions that improve healthcare delivery.

Key responsibilities

• Collaborate with product and engineering stakeholders to translate ML needs into reliable, reusable platform capabilities.
• Design and build scalable data and ML pipelines for model training, evaluation, deployment, and serving.
• Develop and maintain MLOps tooling, including CI/CD for models, model registry, feature stores, and experiment tracking.
• Ensure production reliability through monitoring, alerting, and automated remediation.
• Implement security mechanisms such as authentication, role‑based access control, audit logging, and compliance monitoring.
• Mentor engineers and promote reusable platform patterns and best practices.

Required profile

• Expert‑level proficiency in Python and Java with strong software engineering fundamentals.
• Proven experience designing and building ML platforms and MLOps workflows.
• Hands‑on experience with cloud platforms, primarily Azure and also AWS or GCP.
• Experience containerizing and orchestrating ML workloads using Docker and Kubernetes.

Required skills

• Python
• Java
• Azure, AWS, GCP
• Docker
• Kubernetes
• MLflow, Kubeflow, Ray
• CI/CD pipelines for models
• Model registry, feature stores, experiment tracking
• Authentication and role‑based access control
• Audit logging and compliance monitoring