Data Science (Computer Vision Engineering) Internship

Selected intern's day-to-day responsibilities include:

1. Deployment of deep learning models at scale for live processing of video feed (RTSP)
2. Work with OpenCV, Pytorch, TensorFlow, TensorFlow Lite, TensorRT, OpenVINO, Keras, Yolo
3. Work with model optimization for Nvidia hardware (TensorRT conversion of both Tensorflow & Pytorch models)

Skills & Requirements:

1. Minimum of 1-3 years of relevant experience
2. Experience and exposure on advanced computer vision, image processing and
3. machine learning
4. Solid experience with Python, preferably in a Linux environment
5. Proficient with the training in detection/classification/segmentation models with Tensorflow/PyTorch
6. Good theoretical and practical knowledge of the fundamentals of deep learning, eg. CNNs, RNNs, attention-based networks, etc.
7. Proficient in data structures & algorithms
8. Proficient understanding of code versioning tools, such as (Git/Mercurial/SVN)

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