Computer Vision Engineer

hace 2 meses

Granada, España Aratech A tiempo completo

Who we are? 

We are ARATECH, Lifestyle Technology. A company with more than 10 years of experience in IT and consulting. The group of professionals working in ARATECH's mission is to offer the best solutions to our customers by working together with them in their Digital Transformation to provide the best advice establishing a close collaboratio


What would be your responsibilities?


  • To research and develop scalable computer vision and machine learning solutions to a hard problem.


  • To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D scan and deep learning.


  • To design, implement, and deploy full-stack computer vision and machine learning solutions.


  • Image Enhancement


  • Color Image Processing


  • Segmentation


  • Various Region Detection on Images


  • Classification: Small Data driven / Big Data driven.


  • 3D / Depth image processing development: Transformations / Denoising (Artifact, ...) / Reconstruction / Ensemble.


  • Stereo Vision Camera Calibration / Depth Estimation.





Requirements:

What do we need?


  • Bachelor’s degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience.


  • Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience.


  • Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience.


  • Experience to Research and Develop to Classical Computer Vision Algorithm.


  • Experience to Research and Develop Machine Learning.


  • Experience to Deploy CUDA processing.


  • C++ code optimization in performance-wise to image processing.


  • Skills to programming language: C++ / Python / CUD


  • Ingles C1


What do we offer? ⭐

  • A dynamic role with opportunities for professional growth in a global setting.


  • Competitive salary and benefits package.


  • Opportunities for continuous learning and career advancement.


  • Participation in pioneering projects involving cutting-edge digital transformation technologies.

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