Computer Vision Work From Home Internship

1. Experienced in Python and OpenCV library, as well as deep learning frameworks like PyTorch, TensorFlow, etc.

2. A strong foundation in mathematics, image processing, and deep learning fundamentals.

3. Expertise in deep-learning architectures such as CNNs, Vision Transformers, etc.

4. A basic understanding of state-of-the-art models like YOLO-series, zero-shot classifiers, multi-modular models, SAM, etc.

5. Experience using Docker containers for computer vision and deep learning.

6. Familiarity with Git.

7. Exceptional problem-solving abilities and analytical skills.

8. Strong communication skills and the ability to work effectively in a collaborative team environment.

9. It is good to have experience in C/C++.

10. It is good to have experience in working with model optimization techniques like pruning, quantization, etc.

11. It is good to have experience working with any model deployment platform (E.g.: NVIDIA Triton Inference Server).