Senior Machine Learning Systems Engineer

🕒 September 22

🇺🇸 United States – Remote

💵 $174k - $218k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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PointClickCare

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

💰 Secondary Market on 2022-03

Healthcare • Consulting • Healthcare Insurance

PointClickCare is a cloud-based software provider focused on improving care collaboration and financial health in the healthcare industry. The company offers a comprehensive platform that connects care teams with important data, allowing for seamless care transitions and better patient outcomes. By streamlining operations for skilled nursing facilities, senior living communities, and other healthcare providers, PointClickCare helps reduce inefficiencies, manage medication orders, ensure compliance, and improve financial performance. PointClickCare also fosters innovation and quality improvements in healthcare through integrated care coordination and actionable insights across data silos.

📋 Description

• Serve as product owner for machine learning platform capabilities within PointClickCare • Work with engineering teams to identify, build, and support traditional ML and hybrid ML/LLM solutions • Design, build, and operate the machine learning platform enabling teams to develop, deploy, and scale ML solutions • Build and maintain pipelines, tooling, and infrastructure for model training, deployment, serving, and monitoring • 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 and workflows, including model CI/CD, model registry, feature stores, and experiment tracking • Ensure reliability, observability, and performance of production ML systems through monitoring, alerting, and automated remediation • Implement ML platform security mechanisms including authentication, role-based access control, audit logging, and compliance monitoring • Integrate the platform securely with existing systems, APIs, and data sources • Optimize infrastructure for cost, performance, and scale • Mentor engineers and promote reusable platform patterns and best practices

🎯 Requirements

• Expert level in Python and Java • 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 and GCP • Experience with ML runtime containerization, optimization, and orchestration using Docker and Kubernetes • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field (Preferred) • Working familiarity with Azure Machine Learning components and Databricks processing and serverless environments (Preferred) • Experience implementing security at scale, including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring (Preferred) • Experience optimizing large model training and inference, including LLM serving, for performance and cost (Preferred)

🏖️ Benefits

• 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 • Bonus • In-office events including onboarding, team events, and semi-annual and annual team meetings