(sr) computer vision engineer
3 weeks ago
1. Work on identifying and implementing data pre-processing pipelines for various image datasets
2. Experimentation, Identifying, testing the right techniques / Deep Learning libraries to use to train models, and infer parts and degree of damage in the dataset (images of vehicles)
3. Training and deploying models for inferencing on cloud (and edge if required
4. Work on improving the accuracy of deployed models
Requirements
Experience in state of the art deep learning, convolutional neural networks (Res Net50, Resnet101, Resnext101, Inceptionv3, Mobile-net)
Hands on experience with (a) object detection (b) semantic segmentation (c) instance segmentation problems (incl. faster RCNN, SSD, Mask RCNN)
Hands on experience with classical image processing techniques (feature engineering), using Open CV, Pillow
Proficiency in Python and OOPs concepts
Proficient in building ML models on various deep learning and maching learning libraries using Pytorch, Tensor Flow, Keras, sci-kit-learn, Numpy
Familiar with training and deployment on cloud
Experience with Pytorch essential
Implemented research papers into production models
Experience with command line Linux essential
Startup experience preferred
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Delhi, India ClearQuote Full timeRole: Computer Vision Engineer / Sr Computer Vision Engineer1.Work on identifying and implementing data pre-processing pipelines for various image datasets2.Experimentation, Identifying, testing the right techniques / Deep Learning libraries to use to train models, and infer parts and degree of damage in the dataset (images of vehicles)3.Training and...
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