Trainee Associate Research Engineer – Deep Face Recognition

This internship program is conducted by Zone24x7 under the direct supervision of Zone24x7 Chief Scientific officer. Under this program, the interns will get the exposure in engineering, R&D and working in collaborative teams from multiple domains. This will be an excellent opportunity for the interns to groom their career under the guidance of experts in multiple domains.

Responsibilities

As an undergraduate/graduate intern, you will be involved in engineering research and development under the guidance of senior engineers.

  • Do a literature survey and thorough study on existing work on a given vision-related problems
  • Evaluate existing deep learning models for accuracy and performance
  • Design new deep learning models
  • Implement machine/deep learning models and perform training, testing and fine-tuning
  • Implement computer vision-based or relevant algorithms to provide a solution for the given problem
  • Integrate the implemented solution to the existing codebase
  • Document all research findings
  • Working with a team in a time-bound environment

Qualifications

  • Background in Electronics, Bio-medical, Electrical or Computer Science engineering (Undergraduate or graduate)
  • Proficiency in Machine learning and computer vision technologies
  • Proficiency in Python programming language and deep learning frameworks (Keras, Tensorflow, Pytorch)
  • Knowledge on existing deep learning model architectures
  • Capable to read and understand research papers identified in the machine vision domain
  • Capable to read and understand research papers identified in the machine vision domain

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