# Senior Machine Learning Systems Engineer (CAD)

**Company**: PointClickCare
**Location**: Mississauga, ON
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $174,000 - $218,000 a year
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://jobs.lever.co/pointclickcare/150b07cd-04e9-46c4-9015-114498f3798c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_886d08a4-71c

## Description

As a Senior Machine Learning Systems Engineer at PointClickCare, you will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across PointClickCare to develop, deploy, and scale ML solutions.

Key responsibilities:

- Collaborate with product and engineering teams to translate ML needs into reliable, reusable platform capabilities.

- Design and build scalable data and ML pipelines that support model training, evaluation, deployment, and serving.

- Develop and maintain ML Ops tooling and workflows, including CI/CD for models, model registry, feature stores, and experiment tracking.

- Ensure the reliability, observability, and performance of ML systems in production through monitoring, alerting, and automated remediation.

- Implement comprehensive security mechanisms for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring.

- Securely integrate the platform with existing systems, APIs, and data sources with secure communication protocols, and optimize infrastructure for cost, performance, and scale.

- Mentor engineers on the teams and promote reusable platform patterns and best practices.

Qualifications and skills:

- Expert level in Python and Java, and strong software engineering fundamentals.

- Experience designing and building ML platforms and MLOps workflows, with familiarity with tools such as MLflow, Kubeflow, Ray, and model-serving frameworks.

- Experience with cloud platforms (Primarily Azure, secondarily AWS and GCP).

- Experience with ML runtime containerization, optimization, and orchestration (Docker, Kubernetes).

Benefits and perks:

- Benefits starting from Day 1!

- 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

## Skills

### Required
- Python
- Java
- MLflow
- Kubeflow
- Ray
- Docker
- Kubernetes
- Azure
- AWS
- GCP

### Nice to have
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related field
- Working familiarity with Azure Machine Learning components and Databricks processing and serverless environments

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/pointclickcare/150b07cd-04e9-46c4-9015-114498f3798c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)