ClearQuote app helps assess damages in cars based on images/videos - used by insurers, mobility providers and workshops.Whatâs on offer â Opportunity to lead development of a global tech product, competitive pay and stock optionsRole1) 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 data3) Deploy training and inferencing models on cloud (and edge if required)Â 4) Work on improving accuracy of detection
Requirements:
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) Skills:- TensorFlow, OpenCV, Python, Artificial Neural Network (ANN) and Deep Learning