A Data Scientist in Flipkart is required to develop and implement various Computer Vision and Deep Learning models for the various projects like object detection / segmentation, representation learning, attribute extraction using MTL, OCR, AR-VR, scene graphs, etc. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams to better understand the problem at hand. At a fundamental level, the responsible person should be able to dive deep into a problem statement and extract interesting insights as well as solutions. In addition to being a quick learner, a DS is expected to get involved in active research projects with a view to publish them.

What you’ll do

• Understand Business and product needs and use CV or DL techniques to provide solutions to those in a time bound fashion.
• Communicate and collaborate with business and product teams to have a better understanding of the project so as to be able to drive it within the DS team.
• Get involved in in-depth exploration of solutions using various methods and extract insights from data as well as models, which are to be shared with business and product teams.

What You’ll Need

• M.Tech in CS, Data Science, Computer vision, Machine Learning or any related field with experience ranging from 5 to 10 years through publications/deployed solutions/projects.
• Deep understanding of the algorithms (theory and application) that they have worked on.
• Good grasp on the theory and practise of basic computer vision and deep learning algorithms. It is not expected that the candidate has actually worked on all these modules.
• Strong proficiency in Python is necessary.
• Proficiency with CNN (convolution neural networks) and some of the state of art deep learning architectures such as ResNet, Inception, EfficientNet etc in computer vision
• Experience in handling of millions of images
• Knowledge of computer vision frameworks and libraries
• Experience with deep learning frameworks like Tensorflow, PyTorch, Keras.
• Background in Object oriented design, scalability and reusability
• Exposure to JIRA, Git, agile project management is a plus