Computer Vision Engineer

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Key Responsibilities:
  • Running experiments to test performance, consider optimizations, and improve the features that we offer
  • Working closely with the team of scientists and engineers, and being responsible for staying up-to-date with the latest research, testing, experimenting with new ideas and techniques, and building what works best in our products.
  • Learning and experimenting with new ideas, and being interested in staying up to date with the latest research in machine learning
  • Determining the best way to solve problems, evaluating the solutions, and understanding how they could be best used.
  • Taking interest and the opportunity in project ownership
  • Willing to try out new ideas and develop the ones that work best in usable software.
  • Developing data processing workflows for optimizing ingestion
  • Developing SOTA data augmentation techniques.
  • Developing SOTA data augmentation techniques.
  • Building python-utils for internal and external uses.
Role Proficiencies:
  • 2 to 5 years of proven work experience in Python, Machine Learning, ML-Ops, and Computer Vision
  • Fluency with using NN frameworks such as TensorFlow, Keras, Caffe, or Torch, and understanding how backpropagation works.
  • Fluency with Python as well as experience with packages such as NumPy, Pandas, Scikit-learn, and Matplotlib
  • Experience with popular machine learning hubs and frameworks such as hugging face, Open MM Lab, and Detectron2
  • Masters/Bachelors in Computer Science or related field
  • Kubernetes at a high level will be a plus
  • Familiarity with machine learning hardware and related technology.
  • Knowledge of scaling machine learning.
  • Great to have working experience in product teams
  • Experience in Python, and C++ programming languages
  • Experience with TensorRT, Deepstream, and TRITON projects in video, speech, or NLP
  • Published research papers/patents, and contributions to open-source projects will be a plus.
  • Experience:

    2 - 5 Years

  • Salary:

    7 LPA - 14 LPA

  • Diversity Candidate:


  • Location:


  • Address:


  • Primary Skills:

    Computer Vision, Deep learning frameworks like PyTorch, TensorFlow, Keras, ball tracking, events cameras, Multiview geometry.

  • Industry:

    Information Technology/IT

  • Job Type:

    Full time

  • Degree:

    Any Graduate

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