AI/ML Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Dayton, OH
Employment
Full-time
Posted
69 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $211k
$137k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $174,900–$247,115.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer

The AI/ML Engineer joins the national security team to build, test, deploy, and operate end-to-end AI pipelines that enhance mission performance and decision-making. This role involves developing and operationalizing AI capabilities, including implementing document RAG and Graph RAG solutions. The engineer will build applications leveraging LLMs for automation tasks like text summarization and customized reports, including multi-agent solutions. Key responsibilities include adapting and fine-tuning open-source models and ensuring robust software engineering practices. Required technical skills include object-oriented Python programming, containerization technologies like Docker, Helm, or Kubernetes, and experience with data science or ML engineering. Preferred competencies include working with databases such as Qdrant, Milvus, Elasticsearch, or Postgres, as well as experience with on-prem compute and obtaining a TS/SCI clearance.

What you'll do

  • Build, test, deploy, and operate end-to-end AI pipelines for mission systems.
  • Design and maintain robust AI and ML pipelines and automated workflows.
  • Implement document RAG and Graph RAG solutions.
  • Build applications leveraging LLMs for automation tasks like text summarization and customized reports.
  • Develop multi-agent solutions for complex automation tasks.
  • Adapt and fine-tune open-source models for specific use cases.
  • Integrate AI capabilities into production systems using containerization technologies like Docker or Kubernetes.

What we're looking for

  • Experience with data science, ML engineering, software engineering, data research, or data analytics.
  • Experience building and deploying AI and ML solutions into production.
  • 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 best practices.
  • Experience with containerization technology such as Docker, Helm, or Kubernetes.
  • Bachelor's degree and 3+ years of experience with AI and ML, or 6+ years of experience with AI and ML in lieu of a degree.
  • Ability to obtain a TS/SCI clearance.
  • Experience with databases such as Qdrant, Milvus, or Elasticsearch (preferred).
  • Experience with Elasticsearch index (preferred).
  • Experience with relational databases such as Postgres (preferred).
  • Experience with on-prem compute (preferred).
  • TS/SCI clearance (preferred).

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