Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Peraton • Laurel, MD

23h • Onsite

About The Position

Peraton is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, develop, test, and deploy AI/ML algorithms to address complex business challenges and mission requirements. The role involves developing models capable of learning from data, generating accurate predictions, and aligning with customer-defined business logic and operational objectives. The engineer will demonstrate expertise in model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. A strong understanding of application development, infrastructure management, data engineering, and data governance principles is necessary to support scalable and efficient AI/ML solutions. This position may involve leading geographically distributed teams and serving as a primary point of contact for AI-related initiatives. Strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills are required.

Requirements

• Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
• Bachelor of Science degree in Advanced mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor’s degree, 3 additional years of machine learning experience on similar projects may be substituted).
• An active TS/SCI with Poly is required.
• Experience in working with various ML libraries and packages.

Nice To Haves

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

Responsibilities

• Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements.
• Develops models capable of learning from data, generating accurate predictions, and aligning with customer-defined business logic and operational objectives.
• Demonstrates expertise in model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics.
• Maintains a strong understanding of application development, infrastructure management, data engineering, and data governance principles to support scalable and efficient AI/ML solutions.
• May lead geographically distributed teams and frequently serve as a primary point of contact for AI-related initiatives.
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
• Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.

Benefits

• Heavily subsidized employee benefits coverage for you and your dependents
• 25 days of PTO accrued annually up to a generous PTO cap
• Eligibility to participate in an attractive bonus plan
• Enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level