About the company:
We are a team of professors and technologists determined to disrupt the world of fashion to bring a world-class end-to-end solution for brands, retailers, and enterprises to eliminate supply chain inefficiencies and bring more value to customers. We are building a state-of-the-art product by using cutting-edge computer vision and AI technology to help brands reduce returns and increase online conversion.

About the internship/job:
Selected intern’s day-to-day responsibilities include : 1. Working on performing tests on our various algorithms 2. Coding in Python 3. Working on R&D and implementing research papers 4. Testing various ML frameworks 5. Working on annotations and preparing COCO format dataset

Who can apply:
Only those students or freshers can apply who:
are available for full time (in-office) internship

have relevant skills and interests

can start the internship between 26th Jul’21 and 30th Aug’21

are available for duration of 6 months

have already graduated or are currently in any year of study

Females willing to start/restart their career may also apply

Other requirements:
Should have a good foundation in computer vision; key areas of interest include at least 2 amongst object detection, tracking, and recognition; multiple view geometry, 3D computer vision, and OpenCV Should have good experience in image processing, semantic segmentation is a must scripting and prototyping languages in Python, Matlab, C/C++ Should have experience with deep learning and computer vision libraries, e.g., PyTorch, TensorFlow, Caffe, OpenCV, etc. Should have experience with Linux, Windows, and ROS platforms Should have the ability to grasp new concepts quickly Should have the ability to adapt and use these patterns in innovative ways to develop custom solutions Should have the ability to take initiative on issues and report results instead of waiting for task lists Should have good presentation skills, both prepared and ‘on-demand’ talks

Number of internships/jobs available: 2

Categories: Computer Vision,Computer Science,Engineering