Computer Vision/Deep Learning Engineer

North Brabant  ‐ Onsite
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Description

Our Client

They are an independent, highly experienced digital service provider around location based content including digital maps. Years of experience in the automotive world is translated into flexible and high quality B2B services and solutions to customers like automotive companies, Embedded system suppliers, data suppliers, navigation system suppliers and governments.

Job Mission

Our business units to create maps for autonomous driving as well as classic navigation maps. Our mission is to deliver innovative technology to further increase the degree of process automation. Our core competence is the extraction of map related features from images by intense use of Deep Learning and Computer Vision. Part of our mission is to evaluate latest technology for use in map automation and support business units with the integration of this technology into a production environment.

Responsibilities

  • Design of deep neural networks to tailor fit our customer requirement
  • Follow technology trends in Computer Vision/Deep Learning domain
  • Evaluate latest technology for use in the map automation process
  • Develop prototypes that demonstrate the potential for map automation
  • Support our partnering business units with the integration of our prototypes into a production environment
  • Develop tools to improve our Deep Learning related processes
  • Maintain clear and effective communication within the team and other teams as necessary

Requirements

  • At least a BSc degree, preferably in machine learning, computer vision, computer science, mathematics or physics
  • Excellent knowledge of C++
  • Good knowledge in OpenCv
  • Good knowledge of Tensorflow or similar Deep Learning frameworks
  • Good knowledge in the areas of object detection, object segmentation and machine learning
  • Good knowledge of Linux, Windows, Visual Studio, CMake, Python
  • High commitment to quality
Start date
n.a
From
Consol Partners
Published at
16.01.2018
Project ID:
1484699
Contract type
Freelance
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