Senior AI/ML Engineer II — Build Scalable Predictive Models

Peraton; West Laurel (MD); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Subsidized benefits

25 days PTO

Bonus plan

Professional development

Job summary

Peraton is seeking experienced professionals to design, develop, test, and operationalize advanced machine learning models for national security programs. The role emphasizes building scalable systems with end-to-end responsibility, including training, deployment, monitoring, and ongoing improvement.

The ideal candidate will have 5+ years of applied ML experience, advanced degrees in mathematics/AI/data science/computer science/deep learning, and an active TS/SCI with Poly clearance.

Qualifications

• 5+ years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
• Active TS/SCI with Poly is required.
• Bachelor’s degree plus 5 years of ML experience may substitute for a Master’s degree.
• Expert knowledge of multiple programming languages (Python, Java, C, R) is desired.

Responsibilities

• Designs, develops, tests, and operationalizes ML algorithms to solve complex business challenges and mission requirements.
• Train, retrain, deploy, schedule, monitor, and improve models based on feedback to deliver scalable, high-performance solutions.
• Lead geographically distributed teams and serve as the primary contact for related technical matters.

Skills

Python

Java

C

R

Education

Master’s degree in Advanced Mathematics

Master’s degree in Artificial Intelligence

Master’s degree in Data Science

Master’s degree in Computer Science

PhD in Deep Learning

Bachelor’s degree + 5 years ML experience

Tools

PyTorch

TensorFlow

Job description

Peraton is seeking experienced professionals to design, develop, test, and operationalize advanced machine learning models for national security programs. The role emphasizes building scalable systems with end-to-end responsibility, including training, deployment, monitoring, and ongoing improvement.

The ideal candidate will have 5+ years of applied ML experience, advanced degrees in mathematics/AI/data science/computer science/deep learning, and an active TS/SCI with Poly clearance.