About this opportunity
DataJobs lists this Machine Learning Engineer opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Drive AI/ML capabilities that enhance analytic workflows by building and adapting Large Language Models and NLP solutions for intelligence-focused use cases.
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
Use GPUs for accelerated computing and performance‑focused execution
Tune neural networks (including LLMs) on custom datasets and apply models to specific use cases
Build AI/ML models and ensembles , select appropriate Python libraries , prepare data, run analyses, and evaluate model performance
Requirements
Bachelor or Master’s Degree in an IT discipline, or the equivalent combination of education, technical certifications or training, or work experience
8+ years of experience
Professional or academic experience 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, including: selecting Python libraries, data preparation, analysis, and model evaluation
Proficiency in Python or R
Solid SQL skills, including use of common table expressions, set operations, aggregated functions, and nested subqueries
Experience using version control tools such as GitHub and Jenkins
Experience with Hugging Face Transformers and its model hub
Experience with cloud‑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 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)
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 - $227,700 per 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, 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 Information
REQ#: RQ
Requisition Type: Regular
Public Trust: None
Travel Required: Less than 10%
YEARS OF EXPERIENCE: 8+ years of related experience
Identity Verification Process
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Worksite address
mclean, VA, 22107, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.