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AI​/ML Solutions Engineer Security Clearance

Job in Ashburn, Loudoun County, Virginia, 20147, USA
Listing for: Insight Global, Inc.
Full Time position
Listed on 2026-01-20
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Job Description & How to Apply Below
Position: AI/ML Solutions Engineer with Security Clearance
QUALIFICATIONS
Bachelor’s degree in Computer Science, Engineering, or a related field from a U.S.

-accredited institution.
3+ years of experience with AI/ML.
Strong understanding of core AI and machine learning concepts, including model training, evaluation, deployment, and monitoring.
Familiarity with machine learning frameworks and modern AI tooling.
Experience working with cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or AWS.
Knowledge of relational and non-relational databases (SQL and No

SQL) and data processing technologies.
Familiarity with Large Language Models (LLMs) and Voice AI technologies (e.g., Google Dialog Flow)
Proven experience integrating, maintaining, and troubleshooting third-party systems and APIs.
Strong proficiency in Python, Java, C++, Go, or C# and JavaScript.
Experience designing and supporting RESTful APIs with an emphasis on resilient, fault-tolerant system design.
Ability to produce clear, comprehensive, and user-friendly technical documentation.
Written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
Demonstrated ability to follow written instructions and effectively use computers, software applications, and technical tools.
Analytical and problem-solving skills, with a structured, fact-based approach to addressing business and technical challenges.
Experience working in Service Now to utilize webhooks and APIs for application integration. AI Solutions Engineer (3 YEARS of EXPERIENCE)
The AI Solutions Engineer will focus on hands-on coding, AI integration, and workflow automation, enabling our client to streamline internal processes, boost productivity & quality, while collaborating closely with product owners, platform teams, and stakeholders in an Agile delivery model.
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