Senior Machine Learning Engineer I, AI & ML Platform
Core
Building and scaling a centralized AI platform (services, tools, best practices) to enable rapid deployment of GenAI capabilities across the organization and power care delivery.
Role type
Senior Machine Learning Engineer (AI & ML Platform)
Builds
Centralized AI platform services, tooling, and best practices for GenAI deployment
Domain
Mental health technology / Generative AI / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python development, GenAI and ML libraries (LangChain, Pydantic, Scikit-Learn), Kubernetes configuration, Cloud infrastructure (AWS, Azure), Solution architecture, Technical mentorship
Preferred skills
MLOps best practices, DevOps operational environment, Ruby on Rails
Technologies
Python, LangChain, Pydantic, Scikit-Learn, Kubernetes, AWS, Azure, Ruby on Rails
Responsibilities
Build and scale AI platform tooling and best practices; Monitor and maintain uptime of critical AI/ML tools; Lead refactoring initiatives to enforce coding standards; Troubleshoot and debug cloud and Kubernetes infrastructure issues; Partner with ML teams to modernize MLOps practices; Act as technical advocate via on-call rotations and internal office hours
Seniority
Senior, hands-on IC with mentorship responsibilities