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3 дня назад

AI/ML Engineer

49 996 - 290 004$
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

Текст:
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TL;DR
AI/ML Engineer (AI/ML, Python, Cloud): Designing, developing, testing, evaluating, and deploying AI/ML models across generative AI, classification, prediction, computer vision, NLP, and reinforcement learning with an accent on model development, tuning, validation, and cloud deployment. Focus on building explainable models, supporting enterprise customer initiatives, and integrating AI/ML solutions with secure cloud and data environments.

Location: McLean, Virginia, United States; in-office role

Salary: $49,996.80–$290,004.00 per year

Company

Enterprise IT services supporting customer initiatives with AI/ML engineering, software development, cloud computing, and secure enterprise environments.

What you will do

  • Design, develop, test, evaluate, and deploy AI/ML models and ensembles.
  • Build solutions for generative AI, classification, prediction, computer vision, natural language processing, and reinforcement learning.
  • Provide AI/ML engineering services for customer initiatives.
  • Develop, tune, validate, benchmark, and deploy models in cloud environments.
  • Apply model explainability and interpretability techniques.

Requirements

  • US citizenship and an active Top Secret/SCI security clearance with Polygraph are required.
  • Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical discipline, or equivalent experience.
  • At least 5 years of experience with Python or R for AI/ML development.
  • At least 5 years of experience with major cloud computing providers and cloud-based AI/ML development and deployment.
  • At least 5 years of experience developing and deploying AI/ML models, including tuning, experimentation, validation, and benchmarking.
  • Experience with AI/ML explainability, enterprise security controls, data management practices, and verification and validation test benches.

Nice to have

  • Experience with Flask or similar web development frameworks.
  • Experience with Tableau for visualizations and dashboards.
  • Experience with PyTorch, TensorFlow, or Keras.
  • Experience with GitHub or other version control systems.

Culture & Benefits

  • Full-time, in-office work environment.
  • Healthcare and wellness benefits.
  • Financial and retirement benefits.
  • Education and time-off benefits.

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