AI/ML Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Dayton, OH
Salary
$99,000–$225,000 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $162k
$80k most similar roles pay here $280k

This role pays less than 71% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer on the national security team, you will build, test, deploy, and operate end-to-end AI pipelines to enhance mission performance and decision-making. You will be responsible for developing robust software systems that integrate AI capabilities into production environments while ensuring they run securely and efficiently. Your daily work involves implementing document RAG and Graph RAG solutions, building applications using LLMs for automation tasks like text summarization or custom reports, and fine-tuning open-source models. The role requires proficiency in object-oriented Python programming and containerization technologies such as Docker, Helm, or Kubernetes. You may also utilize databases like Qdrant, Milvus, Elasticsearch, or Postgres. This position focuses on solving technical challenges within the national security domain to provide reliable, scalable AI solutions for mission-focused systems while requiring a Secret clearance.

What you'll do

  • Build, test, deploy, and operate end-to-end AI pipelines for mission systems.
  • Implement document RAG and Graph RAG solutions to enhance data retrieval.
  • Develop applications using LLMs for automation tasks like text summarization and custom reports.
  • Create multi-agent solutions to automate complex workflows.
  • Adapt and fine-tune open-source models for specific production requirements.
  • Design and maintain robust, scalable AI and ML pipelines in production environments.
  • Utilize containerization technologies such as Docker, Helm, or Kubernetes for deployment.
  • Develop software using object-oriented Python programming best practices.

What we're looking for

  • Experience in data science, ML engineering, software engineering, data research, or data analytics.
  • Experience building and deploying AI and ML solutions into production environments.
  • Experience implementing document RAG and Graph RAG solutions.
  • Experience building applications leveraging LLMs for automation tasks including multi-agent solutions.
  • Experience adapting and fine-tuning open-source models.
  • Experience with object-oriented Python programming and containerization technologies like Docker, Helm, or Kubernetes.
  • Ability to obtain a TS/SCI clearance.
  • Bachelor's degree and 3+ years of experience with AI and ML, or 6+ years of experience without a degree.

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