(US) Principal ML System Engineer
Core
Set technical vision and strategy for the machine learning platform powering ML and generative AI development across the organization.
Role type
Principal AI Machine Learning Platform Engineer
Builds
Scalable data and ML pipelines, MLOps tooling, and infrastructure for model training, deployment, and serving.
Domain
Healthcare technology / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Python, Java, ML platform design, MLOps, Cloud platforms (AWS/Azure/GCP), Containerization, Kubernetes, Technical leadership
Preferred skills
Azure Machine Learning, Databricks, LLM serving optimization, Security at scale
Technologies
MLFlow, Kubeflow, Ray, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Define reference architectures and standards for ML pipelines; Set direction for MLOps including CI/CD and feature stores; Establish practices for reliability, observability, and security of ML systems; Provide technical leadership and mentorship to engineering teams.
Seniority
Principal, strategy & mentorship
