Technical SETA SME – Natural Language Processing

TRIAEM LLC

Bethesda (MD)

Presencial

USD 140.000 - 170.000

Jornada completa

hace 25 horas
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Descripción de la vacante

TRIAEM LLC seeks a Senior NLP/AI technical SETA SME to support mission-scale language systems, data pipelines, model development and governance. You will help evaluate approaches, risks, and results across R&D stakeholders.

You will translate complex technical information into actionable program artifacts and assist in milestone tracking while coordinating with cross-disciplinary teams. A technical seminar may be required during evaluations.

Formación

  • Active TS/SCI clearance with polygraph.
  • Bachelor’s degree in physics, mathematics, CS or related field.
  • 8+ years of work experience in science/technical fields.
  • Systems engineering in data-intensive environments.
  • Knowledge of AI/ML including NLP, LLMs.
  • Experience with NLP methods (text classification, NER, topic modeling).
  • Experience building/evaluating NLP pipelines for mission environments.
  • Understanding data architectures for large-scale analytics.

Responsabilidades

  • Provide technical SETA/SME support and evaluate approaches, risks, and results.
  • Translate complex technical information into actionable recommendations for R&D stakeholders.
  • Support program planning, milestones, and cross-disciplinary coordination.
  • Prepare to communicate technical work during evaluations, including a short technical seminar.

Conocimientos

AI/ML knowledge
NLP methods
NLP pipelines
Communication

Educación

Bachelor’s degree in physics, mathematics, CS
Master’s or PhD (nice to have)

Herramientas

Hugging Face
PyTorch
TensorFlow
spaCy

Descripción del empleo

Technical SETA SME - Natural Language Processing

Position Overview

Senior NLP/AI technical SETA SME supporting mission-scale language systems, data pipelines, model development/evaluation, AI governance, and program planning.

What You’ll Do
  • Provide technical SETA/SME support aligned to the specialty area and evaluate technical approaches, risks, progress, and results.
  • Translate complex technical information into actionable recommendations and program artifacts for R&D stakeholders.
  • Support program planning, technical assessment, milestone tracking, and cross-disciplinary coordination where required by the role.
  • Prepare to communicate technical work clearly during Guidehouse/customer evaluation, including a short technical seminar.
Required Qualifications — Customer/Source Controlled
  • ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph.
  • Bachelor’s degree in physics, mathematics, computer science, or relevant electrical/computer/systems/software engineering field.
  • EIGHT (8)+ years of work experience in the listed science/technical fields.
  • Systems engineering and integration experience in complex, data-intensive environments.
  • Knowledge of AI/ML including computer vision, NLP, predictive analytics, and LLMs.
  • Demonstrated NLP methods: text classification, named-entity recognition, topic modeling, information extraction, or transformer-based architectures.
  • Experience developing/evaluating NLP pipelines: preprocessing, tokenization, model training, fine-tuning, and optimization for mission environments.
  • Understanding of data architectures/pipelines for large-scale analytics/intelligence production.
  • Familiarity with AI governance, data quality, bias mitigation, and mission assurance in operational NLP/LLM deployments.
  • Experience creating program plans, work breakdown structures, and milestone schedules.
Desired / Nice to Have
  • Master’s or PhD in listed/relevant field with FOUR (4)+ years work experience.
  • IC experience including requirements, CONOPS, and transition.
  • Experience managing multidisciplinary R&D or T&E teams.
  • Experience as PM or Deputy PM.
  • Hugging Face, PyTorch, TensorFlow, spaCy, or similar NLP frameworks.
  • Ability to proactively manage multiple concurrent tasks.
  • Excellent writing, slide development, and editing for technical/non-technical audiences.
  • Strong organization, problem-solving, time management, and attention to detail.
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