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3 дня назад

AI/ML Engineer SME (TS/SCI with Poly Required)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI/ML Engineer SME (TS/SCI with Poly Required) (AI/ML/LLM): Developing and evaluating machine learning models and LLM-based systems for mission-focused use cases with an accent on neural-network tuning, GPU acceleration, and benchmark-driven experimentation. Focus on designing experiments, validating AI performance, and applying Python-based models to custom datasets.

Location: On-site in McLean, VA, United States. A US citizen with an active/current TS/SCI clearance with polygraph is required.

Company

hirify.global delivers mission solutions in data analytics, software development, engineering, targeting and analysis, operations, training, and cyber operations.

What you will do

  • Tune neural networks, including LLMs, on custom datasets and apply results to specific use cases.
  • Develop AI/ML models and ensembles, select suitable Python libraries, perform preprocessing and analysis, and assess model performance.
  • Test, evaluate, and validate AI systems, with emphasis on LLM-based systems.
  • Design and execute experiments benchmarking LLM performance.
  • Leverage GPUs for accelerated computing and use SQL for data analysis.

Requirements

  • US citizenship and an active/current TS/SCI clearance with polygraph.
  • 15 years of related work experience preferred.
  • Professional or academic experience tuning neural networks such as LLMs on custom datasets.
  • Professional or academic experience developing AI/ML models and ensembles, selecting Python libraries, preprocessing data, analyzing results, and assessing model performance.
  • Professional or academic experience using Python or R.
  • Professional or academic experience with PyTorch, TensorFlow, or Keras.
  • Professional or academic experience with SQL, including common table expressions, set operations, aggregate functions, and nested subqueries.
  • Professional or academic experience with version control systems such as GitHub and Jenkins.
  • Experience leveraging GPUs for accelerated computing.
  • Professional or academic experience testing, evaluating, or validating AI systems, especially LLM-based systems.
  • Professional or academic experience designing and executing experiments to benchmark LLM performance.

Nice to have

  • BA/BS degree or higher.
  • Experience with Hugging Face Transformers and Hub.
  • Experience developing benchmarks for LLM performance.
  • Experience with cloud computing development and architecture.
  • Experience with frontend web development frameworks such as Flask.
  • Experience creating Python machine learning models for text classification and topic modeling using scikit-learn or deep learning models.
  • Experience developing semantic-search applications.
  • Proficiency with Tableau for visualizations and dashboards.
  • Experience communicating methodological choices and model results.
  • Experience with verification and validation test benches.
  • Experience with Explainable AI techniques.
  • Experience with ONNX.

Culture & Benefits

  • Work supports high-value mission solutions and critical customer requirements.
  • Emphasis on excellence, integrity, professionalism, and trusted customer partnerships.
  • Full-time, on-site employment in McLean, Virginia.

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