Deep Learning Engineering Internship

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

1. Working with image processing libraries like OpenCV, SciPy, and NumPy
2. Deploying deep learning models using RestAPIs
3. Training custom deep learning models using Tensorflow or Pytorch

Requirements:

1. Knowledge of image processing libraries like OpenCV, SciPy and NumPy
2. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch)
3. Strong knowledge of deep learning concepts like DNN, CNN, RNN, etc.
4. Experience in object detection model
5. Knowledge of deploying deep learning models using RestAPIs
6. Knowledge about Robot operating systems (ROS) is an advantage
7. Ability to independently find solutions to complex requirements with exceptional logical skills
8. Self-motivated individual with the ability to act fast and learn eagerly as well as guide design
9. Strong communication and analytical skills

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