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7 дней назад

Computer Vision Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Computer Vision Engineer (AI): Advancing the IntelliSee AI risk mitigation platform by developing object detection models and new threat detection capabilities with an accent on computer vision, deep learning, and reliable Python development. Focus on training, evaluating, optimizing, testing, and deploying models, while designing platform architecture and delivering product features through rapid R&D cycles.

Location: Coralville, Iowa, United States. The role includes travel up to 25% for customer visits, internal meetings, and learning, primarily in Coralville and surrounding areas, with occasional travel to other states.

Company

Work on the IntelliSee AI risk mitigation platform, which detects and alerts on threats and risks.

What you will do

  • Advance the IntelliSee platform by expanding threat and risk detection types and methods.
  • Define the product roadmap and vision with the executive team.
  • Design and manage product, infrastructure, architecture, and codebase development.
  • Train, evaluate, optimize, test, and deploy object detection models.
  • Participate in planning, programming, implementation, testing, release, and maintenance.
  • Analyze customer issues, propose solutions, and improve platform quality, accuracy, and reliability.

Requirements

  • Bachelor’s degree or equivalent in computer vision, artificial intelligence, machine learning, computer science, electrical and computer engineering, or a related field, plus two years of relevant experience; or a relevant master’s degree.
  • Experience with advanced computer vision, deep learning, artificial intelligence, image processing, machine learning algorithms, and classical computer vision algorithms.
  • Knowledge of mathematical techniques, statistical methods, optimization, signal processing, and designing and training deep learning architectures.
  • Familiarity with PyTorch, TensorFlow, or Keras.
  • Programming experience with Python, MATLAB, or C++.
  • Ability to apply machine learning algorithms to real-world problems and maintain high-quality, stable code.

Culture & Benefits

  • Collaborate with executives, internal teams, distributors, insurance and risk partners, customers, and development partners.
  • Work in a product development environment focused on quality, accuracy, transparency, and customer satisfaction.
  • Participate in continuous learning and customer-facing travel.

Hiring process

  • Submit a resume by email or through the application form.

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