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# Artificial Intelligence/Machine Learning (AI/ML) Engineer 1- TS/SCI w/Poly

- **Company:** Peraton Inc
- **Location:** Laurel, MD, United States
- **Experience:** Experienced
- **Salary:** $112,000.0 - $179,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Business Logic, Information Engineering, Data Governance, R (Programming Language), Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Scikit Learn, Information Technology, Data Pipelines, Programming Languages
- **Published:** August 12, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87911849/1

## About the Role

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.

 * 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, 4 additional years of machine learning experience on similar projects may be substituted).
 * An active TS/SCI with Poly is required.
 * 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.

Desired Qualifications:

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

## Description

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. Requires strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills.

#MDFSP

#peratonroyalmove

#ClearedRoyalty


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