Computer Vision & Deep Learning Research Scientist/Engineer
India, Hyderabad
4d ago

Are you open to listen, learn and build towards the OnePlus mission "To empower the world through better technology"?

Are you someone who is willing to take responsibility and aware of the importance of introspection?

Are you in constant pursuit for better and Never Settle for anything less?

Are you willing to walked hand in hand with the OnePlus community and create a user experience that is truly beyond expectations and work with like-minded partners who share the vision of co-creating long-term success?

Join us to experience a fascinating career journey which is nothing less than the experience you have with our brand and products!

You just a few steps away, read more on the role and apply

Requirement :

  • Excellent knowledge on any / all of the given concepts in Computer Vision - namely Image Classification, Object Detection and Semantic Segmentation developed using state of the art deep learning algorithms
  • Hands on experience in developing efficient and real-time convolution neural network models
  • Hands on working experience with anyone of the deep learning frameworks -TensorFlow, Caffe, Pytorch
  • Quick prototyping skills in Python, Coding and debugging skills in C++
  • Good communication and collaboration skills
  • Qualification :

  • Fresh PhD's (including candidates who are going for thesis submission, have their thesis submitted, degree awaited, synopsis seminar completed, defence completed) in the domain of Deep Learning with hands-on coding skills and eager towards an industrial career will be given preference (with best remuneration).
  • Masters with 2-4 years of thorough industrial work experience in developing computer vision applications with deep learning (deep learning must)
  • Preferred Requirement (not necessary) :

  • Publications in CVPR, NIPS
  • Knowledge in OpenCV, DLib and basics of Image Processing and Computer Vision
  • Hands on knowledge in model compression and pruning in deep learning
  • Familiarity with GPU computing (CUDA, OpenCL) and HPC
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