About this opportunity
General Dynamics Information Technology, Inc. lists this Machine Learning Engineer - TS/SCI with Polygraph opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
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)
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.
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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Worksite address
mclean, VA, 22107, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.