Computer Vision Intern

Responsibilities:

1. Work actively as a part of the computer vision and deep learning team to train computer vision models

2. Work closely with the data science team for appropriate dataset curation

3. Work on challenging problem statements to finetune models with a huge dataset

4. Work on the implementation of the SOTA architectures for model training

5. Work on improving model accuracy and precision for CCTV cameras

6. Work on comparing the accuracy and performance of different CV models for a particular task

7. Work on creating and maintaining software documentation

8. Work on bug fixing and improving application performance

Requirements:

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

2. Strong foundation in mathematics image processing and deep learning fundamentals

3. Expertise in deeplearning architectures such as CNNs Vision Transformers etc.

4. Basic understanding of StateoftheArt Models like YOLOseries Zero Shot Classifiers Multi Modal Models SAM etc.

5. Experience using Docker containers for Computer Vision/Deep Learning

6. Familiarity with Git

7. Exceptional problemsolving abilities and analytical skills

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

9. Good to have experience in C/C

10. Good to have experience in working with model optimization techniques like pruning quantization etc.

11. Good to have experience working with any model deployment platform (Eg: NVIDIA Triton Inference Server)

Location: Delhi

Working days: Monday Friday

Tenure of Internship : 6 months

PPO Opportunity: Yes

Stipend: INR 12500