Senior ML Platform Engineer — Production-Ready Pipelines

Datavant; Concord (NH); On-site; USD 224,000 - 280,000; Full time

Job summary

Datavant is seeking a Staff ML Platform Engineer to lead the ML Platform team, directing training, serving, and observability at scale. You will own the paved-road framework, drive architectural decisions, and ensure secure handling of PHI as you enable data science to deploy reliably across Datavant’s clinical AI products.

You will collaborate with Data & ML Platform teammates, manage vendor/platform choices, and mentor senior engineers while writing high-leverage code and IaC.

Qualifications

• 10+ years of software engineering experience with enterprise-scale ML platforms in production.

Responsibilities

• Set technical direction across ML training, serving, and observability.
• Own and evolve paved-road framework enabling Data Science to go from config to production quickly.
• Lead architecture for LLM-endpoint serving across managed providers and self-hosted deployments.

Skills

Databricks

SageMaker

MLflow

PyTorch

TensorFlow

Java

Python

Apache Spark

Terraform

Kubernetes

CI/CD

LLMs in production

Cloud IAM

Tools

Databricks Asset Bundles

Unity Catalog

Iceberg/Delta formats

Job description

Datavant is seeking a Staff ML Platform Engineer to lead the ML Platform team, directing training, serving, and observability at scale. You will own the paved-road framework, drive architectural decisions, and ensure secure handling of PHI as you enable data science to deploy reliably across Datavant’s clinical AI products.

You will collaborate with Data & ML Platform teammates, manage vendor/platform choices, and mentor senior engineers while writing high-leverage code and IaC.