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Computer Vision Engineer

hace 2 meses

Granada, Granada, España Aratech A tiempo completo

About Aratech

We are a leading technology company with over 10 years of experience in IT and consulting. Our team of professionals is dedicated to delivering innovative solutions to our clients through collaborative efforts in their digital transformation journey.

Job Responsibilities

As a Computer Vision Engineer, you will be responsible for researching and developing scalable computer vision and machine learning solutions to tackle complex problems. Your tasks will include:

  • Investigating and solving challenging real-world problems in image recognition, classification, object detection, 3D scanning, and deep learning.
  • Designing, implementing, and deploying full-stack computer vision and machine learning solutions.
  • Developing image enhancement, color image processing, segmentation, and region detection algorithms.
  • Working on 3D/depth image processing, including transformations, denoising, reconstruction, and ensemble methods.
  • Implementing stereo vision camera calibration and depth estimation techniques.

Requirements

To be successful in this role, you will need:

  • A Bachelor's degree in Computer Science or Electrical Engineering, plus 2 or more years of relevant experience.
  • A Master's degree in Computer Science or Electrical Engineering, plus 5 or more years of relevant experience.
  • A Doctorate in Computer Science or Electrical Engineering, plus 3 or more years of relevant experience.
  • Experience in research and development of classical computer vision algorithms.
  • Experience in research and development of machine learning techniques.
  • Experience in deploying CUDA processing.
  • Proficiency in C++ code optimization for image processing.
  • Skills in programming languages: C++, Python, CUDA.
  • English language proficiency at C1 level.

What We Offer

We provide a dynamic work environment with opportunities for professional growth, a competitive salary and benefits package, opportunities for continuous learning and career advancement, and participation in pioneering projects involving cutting-edge digital transformation technologies.