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Senior AI/ML Engineer (Computer Vision)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior AI/ML Engineer (Computer Vision): Developing and optimizing computer vision algorithms for video collaboration products with an accent on embedded performance and model training. Focus on building production-level software for Android/Linux platforms and implementing novel CV techniques to enhance user experience in conference rooms.

Location: Lausanne, Switzerland (Hybrid/Remote model available)

Company

hirify.global is a global leader in hardware and software solutions that empower collaboration and creativity, fostering an inclusive environment for diverse teams worldwide.

What you will do

  • Curate and annotate image datasets to train advanced computer vision models.
  • Develop and enhance training platforms using C++ and Python.
  • Research and implement novel CV algorithms to solve complex use cases for video collaboration.
  • Optimize algorithms for embedded platforms running Android or Linux.
  • Perform QA and validation on trained models to ensure high-quality performance.
  • Collaborate with ML researchers and developers to improve user experience in conference rooms.

Requirements

  • 3+ years of experience as a Computer Vision/Machine Learning engineer.
  • Strong background in computer vision, image processing, and linear algebra.
  • Proficiency in C/C++ and Python.
  • Experience with deep learning frameworks such as TensorFlow, Caffe, or PyTorch.
  • Proven ability to implement production-level code on embedded platforms.
  • Experience with source control and project tracking systems like GitHub or Jira.

Culture & Benefits

  • Comprehensive and competitive benefits packages tailored to location.
  • Supportive culture focused on physical, financial, and emotional well-being.
  • Flexible hybrid work model allowing for remote and on-premises collaboration.
  • Inclusive and diverse global team environment.
  • Commitment to environmental sustainability and equality.

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