Machine Learning Engineer

Responsibilities: Develop and adapt Large Language Models (LLM)and Natural Language Processing (NLP)methodologies using AI/ML frameworks and programming languages to create new capabilities Improve analytic workflows and support key intelligence questions through hands‑on model development UseGPUsfor accelerated computing and performance‑focused execution Tune neural networks (including LLMs) oncustom datasetsand apply models to specific use cases Build AI/ML models andensembles, select appropriate Python libraries, prepare data, run analyses, and evaluate model performance

Requirements: Bachelor or Master’s Degreein an IT discipline, or the equivalent combination of education, technical certifications or training, or work experience 8+ yearsof experience Professional or academic experience with modern deep learning frameworks such as PyTorch, Tensor Flow, or Keras(Key Experience) Hands‑on experience usingGPUsfor 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, including: selecting Python libraries, data preparation, analysis, and model evaluation Proficiency in Python or R Solid SQLskills, including use of common table expressions, set operations, aggregated functions, and nested subqueries Experience usingversion control toolssuch as Git Huband Jenkins Experience with Hugging Face Transformersand its model hub Experience withcloud‑based development and architecture Experience with front‑end or application frameworks such as Flask Ability to build text‑focused machine learning solutions (classification, topic modeling) using Sci Kit‑Learnor deep‑learning approaches Experience developing applications forsemantic 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 usingverification and validation test benches Familiarity with Explainable AI (XAI)techniques Experience working withONNX (Open Neural Network Exchange) U.S. Citizenship Required Less than 10%travel required

Security Clearance Level: TS/SCI with Polygraph(Top Secret SCI + Polygraph) Location McLean, VA(On Customer Site, Onsite Workplace) Compensation Likely salary range:$168,300 - $227,700per year

Benefits: 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 Paid vacation and holidays to rest and recharge Technology Keras, PyTorch, Tensor Flow Python, R SQL Git Hub, Jenkins Hugging Face Transformers Flask Sci Kit-Learn Tableau ONNX (Open Neural Network Exchange) GPUs Large Language Models (LLM), Natural Language Processing (NLP) XAI

Other Information: REQ#:RQ229011

Requisition Type: Regular Public Trust: None

Travel Required: Less than 10%

YEARS OF EXPERIENCE: 8+ years of related experience Identity Verification Process On camera during virtual interviews We reserve the right to take your picture to verify your identity and prevent fraud Authorize the collection, processing, and use of your biometric data for identity verification and security purposes