Senior ML Platform Engineer — Production-Scale Pipelines

Datavant; Denver (CO); 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. You will own the paved-road framework, oversee LLM-endpoint serving across managed providers, and guide ML tooling and observability standards. AI fluency and hands-on coding remain central.

You will mentor engineers, influence architecture, and partner with Data Science and App Dev to deliver a cohesive platform used across the organization.

Qualifications

• 10+ years of software engineering; 3+ years designing and operating enterprise ML platforms.
• Production experience with Databricks and/or SageMaker and model tracking (MLflow or equivalent).
• Proficient in Java and Python with deep Spark experience.
• Real depth in AWS (networking, IAM, GPU, storage, messaging).
• Terraform, containers, Kubernetes, and GitHub CI/CD for ML workloads.
• Experience serving LLMs in production with cost management and safe handling of prompts.
• AI-native workflow: daily use of Claude Code, Cursor, Copilot; strong async communication.
• Strong written and verbal communication in async, remote settings.

Responsibilities

• Set technical direction for ML training, serving, and observability; escalate critical infra issues.
• Evolve paved-road framework for end-to-end model workflows and production deployment.
• Architect LLM-endpoint serving across Databricks, AWS, and self-hosted deployments.
• Own MLflow usage, model registry, and training image supply chain.
• Collaborate with Data & ML Platform teams to present a cohesive platform.
• Guide vendor/platform decisions across model providers and tooling; code hands-on.
• Mentor senior engineers and contribute to infrastructure-as-code alongside teammates.

Skills

Java / JVM

Python

Apache Spark

Databricks

SageMaker

Terraform

Kubernetes

CI/CD

LLMs in production

AWS

Tools

Databricks Asset Bundles

Unity Catalog

Iceberg / Delta

Job description

Datavant is seeking a Staff ML Platform Engineer to lead the ML Platform team, directing training, serving, and observability. You will own the paved-road framework, oversee LLM-endpoint serving across managed providers, and guide ML tooling and observability standards. AI fluency and hands-on coding remain central.

You will mentor engineers, influence architecture, and partner with Data Science and App Dev to deliver a cohesive platform used across the organization.