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4 дня назад

Working Student (m/f/d) - Robotics / Computer Vision

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Germany
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
Working Student (m/f/d) - Robotics / Computer Vision (Robotics/Computer Vision): Developing intelligent systems and engineering solutions using Python, ROS, C++, and computer vision tools with an accent on robotics, applied AI, and object detection. Focus on building practical computer vision capabilities with OpenCV, YOLO, PyTorch, and object detection models for customer products and innovations.

Location: Munich, Germany

Company

eigenblue, part of hirify.global, develops intelligent engineering systems by combining multidisciplinary engineering expertise with proprietary AI models.

What you will do

  • Contribute to innovative robotics and computer vision projects for customer products.
  • Develop practical solutions using Python, ROS 2, C++, and computer vision technologies.
  • Work with OpenCV, YOLO, PyTorch, and object detection models.
  • Collaborate in small, agile, hands-on teams on multidisciplinary engineering challenges.
  • Support the development of intelligent systems and bring engineering solutions into real-world applications.

Requirements

  • Currently studying computer science, robotics, electrical or mechanical engineering, mechatronics, machine learning, or a related discipline.
  • First practical experience with Python, ROS 2, and C++.
  • Experience with computer vision tools such as OpenCV, YOLO, PyTorch, or object detection models.
  • Curiosity about emerging technologies and research and development.
  • Motivation to develop technically and personally and make a direct impact on customer products and innovations.

Culture & Benefits

  • Opportunity to join the eigenblue Tech Community and talent pool.
  • Small, agile, flexible, and hands-on project teams.
  • Commitment to equal opportunities, inclusion, and diversity.

Hiring process

  • Submit skills, experience, and motivation.
  • Complete a talent pool interview and join the network.
  • After project matching, complete a technical interview and project kickoff.

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