R&D Engineer-Computer Vision

selen guvenc
Haziran 15, 2022
  • 378

QUALIFICATIONS AND JOB DESCRIPTION

Mobildev is one of the pioneering Smart Marketing Solutions providers of Turkey with 20 years of experience. Located in Kartal / Istanbul, the company is well established in Information and Communication Technology solutions including Outbound Marketing Solutions such as SMS Marketing, Email Marketing, IVR Marketing as well as end-to-end Inbound Marketing Solutions such as Survey Management and Live Chat Modules.

During the last decade, Mobildev has been expanded to provide leading edge business, Permission Management due to ETK, GDPR solutions due to KVKK, and big data solutions driven by its in-house R&D department and ever-growing software development team.

The company has long been committed to providing creative and value-added information technology solutions and support to institutions and enterprises in various industries.

Candidates will take part in approved KOSGEB and TUBITAK projects. Within the scope of the projects, academic consultancy is received from the Middle East Technical University and Boğaziçi University.

The opportunity to work remotely will be provided.

Required Qualifications

  • Willing to work on deep neural networks, transfer learning, image processing, computer vision
  • Experience programming in C/C++ and/or Python
  • Building machine learning models to deliver scalable solutions to business problems.
  • Familiar with Linux environments
  • Ability to apply existing methods as well as invent new algorithms to solve problems
  • The ability to quickly learn new technologies and successfully implement them is essential
  • Work independently and take matters into your own hands
  • Strong linguistic background and analytical mindset

Responsibilities

  • In this role, you will work on improving the readability quality of text images
  • Detection and recognition of personal information such as the face, fingerprint, signature in the image
  • Face detection and recognition in video
  • Using mainly computer vision and deep learning methods

Working Opportunities

  • On-site
  • Hybrid
  • Remote



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