Machine Learning Engineer - TS/SCI with Polygraph

General Dynamics - IT; McLean (VA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility opportunities

Paid education and certifications

Job summary

General Dynamics - IT is seeking an Artificial Intelligence and Machine Learning Engineer in McLean, VA, on customer site, to advance LLM/NLP capabilities. You will design, test and deploy AI/ML solutions, benchmark models, and collaborate with teams on data, architectures and governance.

A strong background in PyTorch/TensorFlow, Python, and cloud/Flask-based tooling is required, with TS/SCI clearance. You will contribute to semantic search, model evaluation, and explainable AI approaches while

Qualifications

• Bachelor or Master’s degree in an IT discipline or equivalent.
• 8+ years of experience in AI/ML engineering roles.
• Hands-on with PyTorch, TensorFlow or Keras and related frameworks.
• Experience diagnosing AI systems, LLMs or NLP benchmarks.
• Experience tuning neural networks on custom datasets for specific use cases.
• Proficiency in Python (and/or R) and solid SQL skills.
• Version control with GitHub and CI/CD with Jenkins.
• Security clearance TS/SCI with Polygraph is required.
• US citizenship and location on customer site in McLean, VA.
• Experience with Hugging Face Transformers, model hubs, and ONNX.
• Cloud development experience and knowledge of Flask, semantic search, and dashboards (Tableau).
• Ability to communicate modeling decisions clearly to technical and non-technical audiences.
• Familiarity with Explainable AI (XAI) techniques and verification/test benches.

Responsibilities

• Develop and adapt Large Language Models (LLM) and NLP methodologies using AI/ML frameworks to enhance analytic workflows and address key intelligence questions.

Skills

Deep learning

NLP

Python

GPU computing

Model verification

Explainable AI

Education

Bachelor's degree in IT

Master's degree in IT

Tools

PyTorch

TensorFlow

Keras

Hugging Face

ONNX

Flask

GitHub

Jenkins

Tableau

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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