Machine Learning Engineer - TS/SCI with Polygraph

Public Trust: None

Requisition Type: Regular

Your Impact

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT

• Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.

WHAT YOU’LL NEED TO SUCCEED:

• Education: Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience
• Experience: 8+ years
• Technical skills:
• Professional or academic experience working with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras. (Key Experience)
• Hands‑on experience using GPUs for accelerated computing. (Key Experience)
• Professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems (Key experience)
• Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark. (Key exeperience)
• Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
• Experience building AI/ML models and ensembles, selecting appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.
• Proficiency in Python or R
• Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Experience using version control tools such as GitHub and Jenkins.
• Security Clearance Level: TS/SCI with Polygraph
• Location: McLean, VA, On Customer Site
• Skills and abilities desired:
• Experience working with Hugging Face Transformers and its model hub.
• Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance. (Key experience)
• Experience with cloud‑based development and architecture.
• Experience with front‑end or application frameworks like Flask.
• Ability to build text‑focused machine learning solutions (classification, topic modeling) using SciKit‑Learn or deep‑learning approaches.
• Experience developing applications for semantic search.
• Proficiency creating dashboards and visualizations in Tableau.
• Ability to communicate modeling decisions, methodologies, and results clearly to technical and non‑technical audiences.
• Experience building or using verification and validation test benches.
• Familiarity with Explainable AI (XAI) techniques.
• Experience working with ONNX (Open Neural Network Exchange).
• US Citizenship Required

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

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#WeAreGDIT

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#GDITEnhanced2026

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Work Requirements

Years of Experience

8 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required