(Canada) Principal ML System Engineer
Core
Define technical vision and strategy for the machine learning platform powering ML and generative AI development across the healthcare organization.
Role type
Principal AI Machine Learning Platform Engineer
Builds
Scalable data and ML pipelines, MLOps infrastructure, and model-serving frameworks for training, deployment, and monitoring.
Domain
Healthcare technology / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Python, Java, ML platform architecture, MLOps, cloud platforms (AWS/Azure/GCP), containerization, Kubernetes, technical leadership, security architecture
Preferred skills
Azure Machine Learning, Databricks, LLM serving optimization, cross-team system leadership
Technologies
MLFlow, Kubeflow, Ray, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Define reference architectures and standards for ML pipelines; Set MLOps best practices including CI/CD and model registry; Establish reliability, observability, and security patterns for production ML systems; Provide technical leadership and mentorship to engineering teams.
Seniority
Principal, strategy & mentorship
