(Canada) Principal ML System Engineer
PointClickCare · CA · CA
Posted 60+ days ago
Software Engineering
Remote/Hybrid — check advert
Not yet analysed
Demand85
Career growth90
Healthcare fit20
Remote potential70
5-year outlook
Principal ML platform engineers in health tech typically command high salaries, often in the top percentile for software engineering roles. Given the seniority and specialized skills, compensation is likely to remain strong, with potential for equity and bonuses.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians without deep software engineering and ML platform experience should not apply unless they have a strong CS/ML background. This role is for experienced ML engineers, not for clinicians pivoting into non-clinical roles.
Who should apply
Healthcare professionals with a strong background in computer science, machine learning, and platform engineering, possibly with prior experience in health tech. Not suitable for typical clinicians.
CV angle
If a clinician has relevant software engineering experience, emphasize any ML platform work, cloud infrastructure, and leadership in technical initiatives. Highlight healthcare domain knowledge as a differentiator.
Skills to highlight
- MLOps
- Python
- Java
- Kubernetes
- Cloud platforms (AWS/Azure/GCP)
- MLFlow/Kubeflow/Ray
- System architecture
- Technical leadership
Role summary
A senior engineering role responsible for defining the technical vision and architecture for the machine learning platform at PointClickCare, a healthcare technology company. The role involves setting standards for MLOps, security, and infrastructure to support ML and generative AI products.
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