AI Model Engineer: Build Production ML Pipelines

Booz Allen Hamilton; Springfield (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI Model Engineer to advance AI/ML capabilities and operationalize models into production workflows across mission areas.

You will collaborate with data scientists and engineers to deploy models, ensure reliability, security, and performance, and stay current with emerging AI/ML technologies.

This role requires 5+ years in AI/ML or software engineering, 3+ years deploying ML models in production, and a TS/SCI clearance; travel up to 25% is expected.

Qualifications

• You have 5+ years in AI/ML engineering, data science, or software engineering.
• You have 3+ years deploying ML models into production environments.
• You have experience building AI/ML models in secure environments.
• You are proficient with Python and ML frameworks (PyTorch or TensorFlow).
• You can communicate complex technical concepts to stakeholders.

Responsibilities

• Develop, refine, and deploy AI/ML models into production environments.
• Integrate models into analytical workflows to improve mission efficiency.
• Collaborate with data scientists, engineers, and stakeholders to translate needs into scalable solutions.
• Establish best practices for model lifecycle, monitoring, and optimization.
• Ensure model reliability, reproducibility, and security compliance.
• Evaluate emerging technologies to support modernization efforts.

Skills

AI/ML engineering

Python

PyTorch

TensorFlow

Stakeholder comms

Travel 25%

Education

Bachelor’s degree in CS/Data Science/EE/Applied Math

Job description

Booz Allen Hamilton is seeking an AI Model Engineer to advance AI/ML capabilities and operationalize models into production workflows across mission areas.

You will collaborate with data scientists and engineers to deploy models, ensure reliability, security, and performance, and stay current with emerging AI/ML technologies.

This role requires 5+ years in AI/ML or software engineering, 3+ years deploying ML models in production, and a TS/SCI clearance; travel up to 25% is expected.