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

Company: Peraton

Location: US-MD-Laurel (Remote)

Salary: $80k - $128k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-22

About this role

## Responsibilities

Peraton is seeking a Artificial Intelligence/Machine Learning (AI/ML) Engineer. The engineer will design, develop, test, and deploy 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. Requires strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills.

#MDFSP

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## Qualifications

The Level 1 Artificial Intelligence/Machine Learning (AI/MI) Engineer shall possess the following capabilities:

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols. Provide system integration oversight
  • 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, 4 (6 years total) additional years of machine learning experience on similar projects may be substituted).
  • Minimum TS/SCI required. Ability to obtain/maintain TS/SCI with Poly is required to start.
  • Experience training, retraining, deploying, scheduling, monitoring, and improving mode...

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