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5 дней назад

Computer Vision & Machine Learning Engineer (AI)

Формат работы
remote
Тип работы
project
Грейд
senior
Английский
c1
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Computer Vision & Machine Learning Engineer (AI): Developing and optimizing AI-driven video analytics for retail operational efficiency and safety monitoring with an accent on object detection and real-time detection systems. Focus on fine-tuning ML models, managing large-scale visual datasets, and deploying scalable solutions in Azure environments.

Location: Remote within Latin America (BR mentioned)

Company

hirify.global is a global Business Intelligence and Data Analytics consulting firm specializing in tailored solutions for data warehousing and project management.

What you will do

  • Develop, optimize, and fine-tune computer vision and object detection models using YOLO, TensorFlow, or PyTorch.
  • Deploy ML models into production or near-production environments.
  • Process large-scale visual datasets and manage annotation workflows.
  • Build real-time detection and alerting capabilities using camera-based systems for retail safety.
  • Collaborate with cross-functional Infrastructure and AI Engineering teams to translate business requirements into technical solutions.
  • Rapidly prototype and deliver MVPs and pilot programs.

Requirements

  • English: Advanced (C1) communication skills required for daily technical discussions.
  • Strong hands-on experience with Computer Vision and Object Detection frameworks (YOLO, TensorFlow, PyTorch).
  • Experience training, validating, and deploying ML models.
  • Proven track record of working with image and video data pipelines.
  • Experience with cloud-based ML infrastructure, preferably within Azure.
  • Location: Must be based in Latin America (LatAm).

Nice to have

  • Experience with real-time video analytics solutions.
  • Familiarity with retail, operational monitoring, or loss prevention environments.
  • Experience contributing to MVPs and executive demonstration initiatives.

Culture & Benefits

  • Fully remote work environment with a global, collaborative, and inclusive team.
  • Innovation-driven culture focused on high-visibility AI projects.
  • Project-based engagement (5-month contract) with possibility of extension.

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