Senior ML Engineer Lead - National Security

Booz Allen Hamilton; Springfield (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced ML Engineer Lead to work on our Palantir-focused team within the National Security division. You will design, train, test, deploy, and maintain models that learn from data, applying best-fit ML algorithms for mission-critical DoD projects.

You will lead ML strategy, collaborate with data engineers and developers, and drive scalable data pipelines that integrate diverse data sources to support decision-making across national, commercial, and emerging

Qualifications

• 5+ years in data operations such as data science, data engineering, and data platforms, AI and ML, or software development.
• 3+ years of Palantir experience including data modeling, ontology mapping, or data visualization.
• 3+ years of experience with Python or TypeScript.
• 3+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems.
• Ability to work in a fast-paced, Agile environment.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor's degree.

Responsibilities

• Lead ML strategy and apply best-fit ML algorithms and technologies.
• Train, test, deploy, and maintain models that learn from data.
• Collaborate with data engineers, developers and data consumers to build scalable data pipelines and robust applications.
• Guide clients on ML data interpretations to drive informed decision-making.

Skills

Data operations

Palantir

Python

TypeScript

Foundry

Pipeline Builder

AIP

Agile

TS/SCI clearance

Education

Bachelor's degree

Tools

Databricks

Git

CI/CD

Maven Smart Systems

Job description

Booz Allen Hamilton is seeking an experienced ML Engineer Lead to work on our Palantir-focused team within the National Security division. You will design, train, test, deploy, and maintain models that learn from data, applying best-fit ML algorithms for mission-critical DoD projects.

You will lead ML strategy, collaborate with data engineers and developers, and drive scalable data pipelines that integrate diverse data sources to support decision-making across national, commercial, and emerging