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# Ai/Ml Engineer

- **Company:** Avalore, LLC
- **Location:** Arlington, VA, United States
- **Salary:** $107,000.0 - $233,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Terminals, Continuous Delivery, Continuous Integration, Desktop Computing, Machine Learning, Microsoft Office, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-arlington-va--f2013c46-11fa-4953-8518-4311b4921bdc

## About the Role

Artificial Intelligence (AI), Data Science, Technical Leadership, Continuous Integration, Data Management, Machine Learning, Artificial Intelligence (AI), Algorithms, Performance Analysis, Continuous Deployment/Delivery, * SECRET Security Clearance Required

 * We are actively seeking multiple levels:
*

 + Junior: 0 - 3 years of experience + Bachelor's Degree
 + Journeyman: 4 - 7 years of experience + Bachelor's Degree
 + Senior: 8+ years of experience + Bachelor's Degree
 * Good communication skills, self-starter mindset.
 * Professional proficiency in English is required.
 * Demonstrated proficiency in using all Microsoft Office applications.
 * Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.

Work Environment:

 * Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).

 * Ability to sit at a computer terminal for an extended period of time.

## Description

The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. This person will create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment. This person will develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. This person will implement automated machine learning pipelines, design systems for model monitoring and performance tracking, and develop tools for model explainability and interpretability. This person will optimize AI/ML algorithms for performance and scalability, implement MLOps practices for continuous integration and deployment of models, and collaborate with data engineers to ensure data pipelines support AI/ML requirements. This person will stay current with advances in AI/ML technologies, document AI/ML systems and
processes, and provide technical guidance to data scientists implementing models. This person will troubleshoot complex issues in AI/ML systems, implement version control for models and datasets, and develop testing frameworks for AI/ML components.