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Senior Machine Learning Systems Engineer (US)

1 hour, 34 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
AWS Azure CI/CD Databricks Docker Java Kubeflow Kubernetes Machine Learning MLflow MLOps Network Security Python
Apply Now
PointClickCare

PointClickCare

PointClickCare provides a leading cloud-based healthcare software platform that enables long-term and post-acute care providers to effectively manage the complete lifecycle of resident care while enhancing operational efficiency and improving resident ...

Health Care Providers & Services
1K-5K
Founded 2000
$232M raised
View All Jobs 54

Description

  • Collaborate with product and engineering teams to translate ML needs into reusable platform capabilities.
  • Design and build data and ML pipelines for model training, evaluation, deployment, and serving.
  • Develop and maintain MLOps tooling, including model CI/CD, registries, feature stores, and experiment tracking.
  • Monitor and improve the reliability, observability, performance, and automated remediation of production ML systems.
  • Implement platform security controls, including authentication, role-based access control, audit logging, and compliance monitoring.
  • Integrate the ML platform securely with existing systems, APIs, and data sources.
  • Optimize infrastructure for cost, performance, and scalability.
  • Mentor engineers and promote reusable platform patterns and best practices.

Requirements

  • Expert-level proficiency in Python and Java with strong software engineering fundamentals.
  • Experience designing and building ML platforms and MLOps workflows.
  • Familiarity with MLflow, Kubeflow, Ray, and model-serving frameworks.
  • Experience with cloud platforms, primarily Azure and secondarily AWS or GCP.
  • Experience with Docker, Kubernetes, and ML runtime containerization, optimization, and orchestration.
  • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field preferred.
  • Working familiarity with Azure Machine Learning and Databricks processing or serverless environments preferred.
  • Experience implementing security at scale, including RBAC, MFA, network security, and compliance monitoring preferred.
  • Experience optimizing large-model training and inference, including LLM serving, preferred.
  • Remote employees must travel to Mississauga and/or Salt Lake City offices for certain events; hybrid employees must live within commuting distance of the specified office.

Benefits

  • Benefits effective from day one.
  • Retirement plan matching.
  • Flexible paid time off.
  • Wellness support programs and resources.
  • Parental, caregiver, fertility, and adoption support.
  • Continuous development support program.
  • Employee Assistance Program and inclusion communities.

Interested in this position?

Apply directly on the company website

Apply Now

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