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Computer Vision - Engineer
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Mumbai / 
EraseBG - Engineering / 
Full-Time
Posted 2 months ago
Fynd is India's largest omnichannel commerce platform helping retail businesses accelerate growth. Founded by Farooq Adam, Harsh Shah, and Sreeraman MG in 2012.

The company is headquartered in Mumbai and currently employs 350+ spread across design, engineering, data science, operations and sales. Trusted by over 600 brands and 10,000 stores.

We want ambitious members to join our Machine Learning group. We are looking for people with experience and familiarity with modern computer vision using deep learning. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models, Object detection and 3D computer vision. You use traditional computer vision algorithms and deep neural networks to extend and improve on existing research for several products.

Please find our research page : https://research.fynd.com/
What You’ll Do:
  • Learn and implement state of the art best practices to create accurate and lightweight models
  • Work and gain exposure on a variety of computer vision problems
  • Come up with practical and deployable solutions. Ensure successful technology transfers to Fynd products
  • Provide critical optimization services to enable high efficiency applications
  • Freedom to write research papers and publish yourself in top conferences.
  • Preferred Qualifications:
  • A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field).
  • Understanding of traditional image processing and computer vision techniques
  • Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability
  • Knowledge of computer vision/image processing techniques and awareness for existing and trending algorithms and research of Computer Vision domain.
  • Programming experience in one or more of the following: C, C++, Python, and/or functional programming languages and deep learning frameworks like - - Tensorflow/Keras/PyTorch
  • + Preferred Experience (For GlamAR)
  • Worked with AR-based application models like 2D/3D facial keypoints detection, Body Pose Estimation, Face Parsing
  • Experience with Quantized Aware Model training for mobile/ edge inference
  • Experience in build model light/low latency models that are deployed in production
  • What's in it for you:
  • An attractive remuneration package
  • Freedom and innovative work environment

  • We are hiring