LENS Corporation | Artificial Intelligence Researcher | aurangabad

1 week ago

aurangabad, India LENS Corporation Full time

Requirements:

  • Excellent knowledge of computer vision concepts, including but not limited to Image Classification, Object Detection, and Semantic Segmentation, developed using state-of-the-art deep learning algorithms.
  • Hands-on experience developing efficient and real-time convolutional neural network (CNN) models for computer vision tasks.
  • Strong proficiency in at least one of the deep learning frameworks, such as PyTorch, TensorFlow, or Caffe, with the ability to apply them to computer vision problems.
  • Quick prototyping skills in Python and coding and debugging proficiency in C++.
  • Good communication and collaboration skills to work effectively in a team and communicate complex technical concepts.


Qualifications:

  • A Ph.D. degree (including candidates at various stages of their Ph.D., such as thesis submission, thesis submitted, degree awaited, synopsis seminar completed, defense completed) in Deep Learning with hands-on coding skills and a passion for an industrial career will be preferred.
  • Master's or Bachelor's degree with thorough industrial work experience in developing computer vision applications using deep learning.
  • Postgraduates or Undergraduates with a strong academic background in Deep Learning, Computer Vision, or related fields, and demonstrated coding skills, are also encouraged to apply.


Preferred:

  • Publications in top-tier computer vision conferences like CVPR, ICCV, ECCV, or major AI conferences like NeurIPS.
  • Knowledge of computer vision libraries and tools, including OpenCV and DLib, and a solid understanding of image processing and computer vision fundamentals.
  • Hands-on experience with model compression and pruning techniques in deep learning.
  • Good exposure to various deep learning architectures, such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) networks.
  • Familiarity with GPU programming (e.g., CUDA, OpenCL) for efficient deep-learning computations.


Pay is competitive as per market standards.

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