Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 TS/SCI w Poly

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Responsibilities

Expand your AI/ML career at Peraton. We seek multiple Artificial Intelligence/Machine Learning (AI/ML) Engineers. Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs.
Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance.

Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to deliver scalable, high-performance solutions. May lead geographically distributed teams and frequently serve as the primary point of contact for related technical matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.

Technical & Engineering Expertise

• Experience working with various ML libraries, packages, and frameworks

• Experience with standard machine learning frameworks such as: PyTorch or TensorFlow

• Design or select appropriate data and knowledge representation methods

• Recognize and apply software architecture, data modeling, and data structure principles

• Transform data science prototypes into scalable production solutions

• Provide system integration oversight

Core AI/ML Capabilities

• Select appropriate datasets for machine learning applications

• Perform statistical analysis and data interpretation

• Run and evaluate machine learning algorithms