Machine Learning Engineer - National Security AI/ML Expert

Peraton

Corridor North (MD)

On-site

USD 135,000 - 216,000

Full time

5 days ago
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Benefits offered by this job

25 days PTO
Bonus plan eligibility
Subsidized benefits

Job summary

Peraton is seeking a Machine Learning Engineer in Annapolis Junction, MD to design, develop, and productize AI/ML solutions for national security programs. You will build models, data pipelines, and evaluation metrics, working across teams to deliver scalable, reliable intelligence-enabled applications.

The ideal candidate has hands-on experience with Python, ML frameworks (PyTorch/TensorFlow), and cloud tools, plus a TS/SCI clearance.

Qualifications

  • Active TS/SCI with current Polygraph required.
  • Two (2) years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
  • Bachelor's Degree in advanced math (e.g., Calculus, Linear Algebra or Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university is required.

Responsibilities

  • Design, create, test, and productize AI/ML algorithms to solve business challenges.
  • Proficient in model architecture, data pipeline interaction, metrics application, interpretation, and presentation.
  • Familiarity with application development, infrastructure management, data engineering, and data governance.
  • Experience training, retraining, deploying, scheduling, monitoring, and improving models for scalable solutions.
  • Lead geographically diverse teams and serve as primary POC for AI-related matters.

Skills

Python
Java
C++
R
Jupyter notebooks

Education

Bachelor's Degree in advanced math or CS or related STEM

Tools

PyTorch
TensorFlow
AWS Bedrock
Agent Orchestration
RAG

Job description

Peraton is seeking a Machine Learning Engineer in Annapolis Junction, MD to design, develop, and productize AI/ML solutions for national security programs. You will build models, data pipelines, and evaluation metrics, working across teams to deliver scalable, reliable intelligence-enabled applications.

The ideal candidate has hands-on experience with Python, ML frameworks (PyTorch/TensorFlow), and cloud tools, plus a TS/SCI clearance.

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