Senior Machine Learning Systems Engineer

PointClickCare

. Serve as product owner for machine learning platform capabilities within PointClickCare .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $174,000 - $218,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining machine learning platforms, with a strong focus on MLOps workflows, model deployment, and infrastructure optimization. Proficient in Python and Java, with experience in cloud platforms and security implementations for scalable ML solutions.

Highest-signal resume keywords

Expert Level In PythonExpert Level In JavaMLOps Workflows DevelopmentCloud Platforms Experience (Azure, AWS, GCP)ML Platform Security Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Platform DesignModel Training PipelinesModel CI/CDModel RegistryFeature StoresExperiment TrackingML Runtime ContainerizationDockerKubernetesOptimization For Performance And Cost

Soft Skills

Mentoring EngineersPromoting Best Practices

Tools & Technologies

MLflowKubeflowRayAzure Machine LearningDatabricks

Certifications & Qualifications

Bachelor’s Degree In Computer ScienceBachelor’s Degree In Machine Learning

Industry Keywords

Role-Based Access ControlMulti-Factor AuthenticationNetwork Security Best PracticesCompliance Monitoring

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonRay

About the role

Key responsibilities & impact

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

What you’ll need

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

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