Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В роли есть практическая работа с настройкой и оценкой LLM и ML на GPU, но предпочтение к 15 годам опыта и обязательный действующий допуск сильно ограничивают круг тех, кому она доступна.
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Жёсткий допускПорог по стажуСовременный стек ИИПонятные задачиРабота на месте
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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