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

Peraton; Laurel (MD); On-site; USD 176,000 - 282,000; Full time

Benefits offered by this job

25 days PTO

Bonus plan

Professional development

Job summary

Peraton is seeking AI/ML Engineers to design, develop, test, and operationalize sophisticated models that address complex mission requirements. You will build models that learn from data and generate predictions aligned with customer logic and operational needs.

You will train, retrain, deploy, and monitor models, delivering scalable, high-performance solutions. Leadership of distributed teams and strong communication are essential in this role.

Qualifications

• Master’s or Ph.D. in Advanced Mathematics, Artificial Intelligence, Data Science, Computer Science, or Deep Learning.

Responsibilities

• Designs, develops, tests, and operationalizes AI/ML algorithms.
• Train and retrain models; deploy, monitor, and improve performance.
• Lead geographically distributed teams and serve as technical contact.
• Ensure verification and validation of AI/ML solutions.

Skills

PyTorch

TensorFlow

Data pipeline integration

Production ML deployment

Model evaluation

Software architecture

Data governance

Communication skills

Python

Java

C

R

Education

Master’s or Ph.D. in Advanced Mathematics

Master’s or Ph.D. in Artificial Intelligence

Master’s or Ph.D. in Data Science

Master’s or Ph.D. in Computer Science

Master’s or Ph.D. in Deep Learning

Bachelor’s degree plus 5 years ML experience

Tools

Python

Git

Job description

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
• Use analytical results to improve and optimize models
• Train and retrain systems as required
• Research and implement a broad range of AI/ML algorithms and tools
• Verify data integrity and model output quality
• Identify data distribution differences that may impact model performance

Testing, Evaluation & Validation

• Run standard testing and evaluation protocols
• Oversee testing and evaluation of AI/ML algorithms through iterative design processesEnsure solutions meet verification and validation requirements

#MDFSP

#peratonroyalmove

Qualifications

Experience & Education Requirements

• Master’s or Ph.D. degree in one of the following from an accredited college or university:
  • Advanced Mathematics
  • Artificial Intelligence
  • Data Science
  • Computer Science
  • Deep Learning
• A relevant Bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s degree.
• An active TS/SCI with Poly is required.
• Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity

Desired Qualifications:

• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

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.

Target Salary Range

$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.