• Prior experience developing deep learning models for computer vision applications. Hands on experience in areas like image classi?cation, object detection and instance segmentation.

• Understanding of deep learning fundamentals including network architectures, training artefacts, over?tting and regularisation in neural networks, batch normalisation and so on.

• Pro?ciency in python.

• Pro?ciency in numpy and opencv.

• Pro?cient in at least one of the deep learning frameworks e.g. PyTorch, MxNet or Tensor?ow.

• Familiarity contributing and maintaining code in github.

• Understanding of SQL and docker technology is a bonus.

Responsibilities:

• Contribute across di?erent stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.

• Develop deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.

• Continuously improve the quality and performance of existing deep learning models by applying latest research in the ?eld.

• Contribute in developing models in areas like self-supervised and semi-supervised learning

Educational Background

• B.Tech/M.Tech (Optional), B.Sc./M.Sc., Computer Science, Maths, Statistics or equivalenteld