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Commission Large Language Model Llm Jobs in Virginia

The successful candidate will lead the implementation of a Large Language Model (LLM) that will transform the way this team performs its work. The Director also oversees budgeting, talent development ...

LLM Specialist

Mclean, VA

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs), Generative AI technologies, and emerging foundation models. This role is responsible for evaluating ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities. * Develop scalable ...

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Commission Large Language Model Llm information

What is the difference between Commission Large Language Model Llm vs Data Scientist?

AspectCommission Large Language Model LlmData Scientist
Required credentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learningDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work environmentResearch labs, AI companies, tech firms focusing on NLP and AI developmentCorporate, research institutions, or tech companies analyzing data and building models
Industry usageAI development, NLP applications, language modeling projectsData analysis, predictive modeling, business insights across industries

While both roles require expertise in data and machine learning, Commission Large Language Model Llm focuses on developing and fine-tuning language models, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap in skills but differ in primary responsibilities and work environments.

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Senior Data Scientist (TS/SCI CI Poly)

Take2 Consulting

Chantilly, VA • On-site

Other

Posted 4 days ago


Job description

Senior Data Scientist LLM / AI-ML | Chantilly, VA (On-Site) | Active TS/SCI CI Required

Take2 Consulting is seeking a Senior Data Scientist to support a high-impact intelligence mission on client site in Chantilly, VA. This role applies advanced Large Language Model (LLM) and AI/ML expertise to intelligence data, helping analysts and decision-makers extract actionable insight from complex, mission-critical datasets.

Responsibilities:

  • Design, develop, and deploy LLM and AI/ML solutions to solve mission-critical intelligence analytic problems
  • Build and maintain data pipelines and analytic models using Python and SQL
  • Fine-tune, evaluate, and operationalize large language models for intelligence use cases
  • Collaborate with intelligence analysts and technical teams to understand mission needs and translate them into data-driven solutions
  • Develop and test new analytic methodologies to adapt to evolving mission requirements
  • Communicate findings and technical approaches clearly to both technical and non-technical stakeholders

Required Qualifications:

  • Active TS/SCI clearance with willingness to take a CI polygraph
  • Ability to work on client site in Chantilly, VA, 40 hours per week (no telework)
  • Hands-on expertise with Large Language Models (LLMs) and AI/ML techniques
  • Proficiency with Python and SQL
  • Bachelor's and Master's degree in Data Science or a related field
  • 5+ years of related professional experience

Preferred Qualifications:

  • Experience fine-tuning or deploying LLMs in a production or mission environment
  • Experience with multi-INT data
  • Experience applying machine learning algorithms to intelligence data
  • Knowledge of graph databases and database design
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies