Senior Machine Learning Systems Engineer (US)
Core
Design, build, and operate the machine learning platform enabling teams to develop, deploy, and scale ML solutions across the organization.
Role type
Senior Machine Learning Systems Engineer (MLOps Platform)
Builds
Scalable data and ML pipelines, MLOps tooling (CI/CD, model registry, feature stores), and production ML systems.
Domain
Healthcare technology / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Java, software engineering fundamentals, ML platform design, MLOps workflows, cloud platforms (Azure/AWS/GCP), containerization (Docker, Kubernetes), security implementation, system observability, mentorship
Preferred skills
Azure Machine Learning, Databricks, large model training optimization, LLM serving
Technologies
Python, Java, MLflow, Kubeflow, Ray, Docker, Kubernetes, Azure, AWS, GCP
Responsibilities
Design and build scalable data and ML pipelines; Develop and maintain MLOps tooling and workflows; Ensure reliability and performance of ML systems in production; Implement security mechanisms for the ML platform; Securely integrate the platform with existing systems and APIs; Mentor engineers on platform patterns and best practices
Seniority
Senior, hands-on IC