Senior Machine Learning Systems Engineer
New
P
PointClickCareHealth Tech
Remote - USFull-TimeSenior
Salary$174,000 - $218,000 a year
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Job Details
- Required Skills
- DockerPythonJavaKubeflowKubernetesMLFlowAzureDatabricksMLOps
Requirements
- Expert level in Python and Java, and strong software engineering fundamentals.
- Experience designing and building ML platforms and MLOps workflows.
- 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).
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field (Preferred).
- Working familiarity with Azure Machine Learning components and Databricks (Preferred).
- Experience implementing security at scale, including role-based access control, MFA, and network security (Preferred).
- Experience optimizing large model training and inference, including LLM serving (Preferred).
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.
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