Machine Learning Engineer

Drive AI/ML capabilities that enhance analytic workflows by building and adapting Large Language Models and NLP solutions for intelligence-focused use cases. ResponsibilitiesDevelop and adaptLarge Language Models (LLM)andNatural 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 appropriatePython libraries , prepare data, run analyses, and evaluate model performance RequirementsBachelor 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 asPyTorch ,TensorFlow , orKeras(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 asGitHubandJenkins Experience withHugging Face Transformersand its model hub Experience withcloud‑based development and architecture Experience with front‑end or application frameworks such asFlask Ability to build text‑focused machine learning solutions (classification, topic modeling) usingSciKit‑Learnor deep‑learning approaches Experience developing applications forsemantic search Proficiency creating dashboards and visualizations inTableau Ability to communicate modeling decisions, methodologies, and results clearly to technical and non‑technical audiences Experience building or usingverification and validation test benches Familiarity withExplainable 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) LocationMcLean, VA(On Customer Site, Onsite Workplace) CompensationLikely salary range:$168,300 - $227,700per year Benefits401K 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 TechnologyKeras, PyTorch, TensorFlow Python, R SQL GitHub, Jenkins Hugging Face Transformers Flask SciKit-Learn Tableau ONNX (Open Neural Network Exchange) GPUs Large Language Models (LLM), Natural Language Processing (NLP) XAI Other InformationREQ#:RQ229011 Requisition Type: Regular Public Trust: None Travel Required: Less than 10% YEARS OF EXPERIENCE: 8+ years of related experience Identity Verification ProcessOn 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#J-18808-Ljbffr