4 natural language processing engineer jobs at 4 companies in Countryside, VA

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Natural Language Processing Engineer SME (TS/SCI with Poly Required)
McLean, Virginia, United States
$215k-$366k/yr OnsiteFull Time
GCI
GCI: Engineering and analytics solutions for national security missions.
11+ YOEUS citizen with active TS/SCI+polygraph, 11+ years experience, BA/BS preferred, experience with SIGINT/OSINT and multi-source intelligence analysis, Mandarin language support preferred.
3d
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Technical SETA SME – Natural Language Processing (NLP)
Bethesda, Maryland, United States
$113k-$188k/yr OnsiteFull Time
Guidehouse
Guidehouse: Provides management and technology consulting services to diverse organizations.
8+ YOEActive TS/SCI clearance with polygraph, bachelor's degree in a relevant technical field, and 8+ years of experience in physics, mathematics, computer science, or engineering; NLP and systems engineering expertise required.
Natural Language Processing (NLP), large language models (LLMs), AI/ML, computer vision, predictive analytics, Hugging Face, PyTorch, TensorFlow, spaCy
2d
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AI Engineer
United States or Sterling
$81k-$98k/yr RemoteFull Time
GDIT
GDITNYSE: GD: Delivers IT and mission services to government agencies.
3+ YOERequires 3+ years of related experience and skills in artificial intelligence, machine learning, natural language processing, data science, programming, and cloud or software technologies.
Python, Java, SQL, PyTorch, Docker, TensorFlow, Linux, JavaScript, MATLAB, Kubernetes, Microsoft Azure, Hadoop
5d
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AI Engineer - Senior Associate - Commercial Technology & Innovation
New York City or Dallas or Miami or Tampa or Atlanta or Washington
$77k-$202k/yr OnsiteFull Time
PwC
PwC: Providing audit, tax, and management consulting services to businesses.
3+ YOEBachelor's degree and 3+ years of experience required. Proficiency in Python, C++, TensorFlow, Scikit-Learn, AI implementation, machine learning, data pipelines, infrastructure, and natural language processing.
Python, TensorFlow, C++, Java, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, Scikit-Learn