Computer Vision Engineer

Posted by Venkat Sreeram
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Remote, Any where
2 - 4 yrs
₹8L - ₹12L / yr (ESOP available)
Artificial Neural Network (ANN)
Deep Learning
Image Processing
Amazon Web Services (AWS)
Cloud Computing
computer vision
Job description
ClearQuote app helps assess damages in cars based on images/videos - used by insurers, mobility providers and workshops.

What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock options

1) Work on identifying and implementing pre-processing of various datasets (images, videos)
2) Identifying / testing the right techniques / deeplearning libraries to use to train the model and infer parts and degree of damage in test data
3) Deploy training and inferencing models on cloud (and edge if required) 
4) Work on improving accuracy of detection
5) Based on experience and ability - lead the rest of the computer vision engineering team


1)Experience in Deep learning using Convolutional Neural Networks
2)Sound knowledge of Object detection,Semantic segmentation,Instance segmentation(Faster-RCNN,Single shot multibox detector(SSD),Mask RCNN,Mobile-net)
3)Classic Image processing techniques using OpenCV
4)Proficiency in Python
5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc
6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker) and deployment
7)Must have work experience in image processing, computer vision areas (exposure to other machine learning / deep learning areas a bonus)
8) Experience in working with Pytorch preferred
9) Strong basics in machine learning, computer vision 
10) Prior experience in implementing research papers into production models 
11) Experience in startup environment is preferred
About ClearQuote

ClearQuote - helps assess damages on cars based on images/videos. This is used by insurers, repair workshops and mobility providers (car sharing fleets) to generate instant repair estimates. 

Products & Services
20-100 employees
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