ML Platform Engineer: Backend for Real-Time AI Pipelines
Summary
Machine Learning Platform Engineer - Backend Services builds and enhances a platform for training and deployment of predictive models, working on data-intensive systems, leveraging NLP, and delivering high-performance, scalable services with Python/Java, SQL, CI/CD, Docker/Kubernetes, and cloud experience.
Waystar is seeking a Machine Learning Platform Engineer - Backend Services to build and enhance the platform that supports training and deployment of predictive models. You’ll work on data-intensive systems, leverage NLP, and deliver high-performance, scalable services in a collaborative team.
The role requires Python/Java, SQL, CI/CD, Docker/Kubernetes, and cloud experience (AWS or GCP). You’ll contribute to production reliability and quality documentation while advancing healthcare payments