2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems.
Excellent hands-on Coding in Python (mandatory), C/C++ (mandatory) or Java.
Experience in developing AI/ML/DL models by using transfer learning or from scratch.
Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others.
Working experience in computer vision models like Yolo, Mobilenet, Resnet etc.
Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. NVIDIA Jetson family, Qualcomm, Intel, Rpi).
Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics
Developed/optimized various models in computing domain(Video, Statistics, Audio and others).
Demonstrated experience in completing data science projects with or without minimal supervision.
Must possess conceptual understanding of various modelling techniques, pros and cons of each technique.
Good to have:
Published research papers on Computer Vision, data analytics or Artificial Intelligence.
Demonstrated prowess in ML in public competitions: Kaggle or participation at other worldwide competitions, etc..
GitHub code repository.
Engineering services; C++; Semiconductor; Product engineering; Linux; Coding; Artificial Intelligence; Windows; Android; Python
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