Bangalore, Karnataka, India
Information Technology
Full-Time
Infosys
Overview
- Should have the hands on experience to train computer vision and deep learning models to solve computer vision use cases.
- Should be able to create and optimize algorithms for image and video analysis, for tasks such as object detection, image recognition, segmentation and video analytics.
- Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
- Should be able to articulate camera calibration and region of interest extraction.
- Should have experience working on a large-scale implementation with 100+ stream in real time
- Fine-tune deep learning models like CNNs, vision transformers using frameworks such as Tensorflow, PyTorch, onnx etc.
- Should have used NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment.
- Should have knowledge of optimizing inferencing pipelines to work on edge
- Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it.
- Should have experience working on action recognition with temporal analysis
- Should have knowledge on pruning the model for deploying on edge/ARM devices
- Collaborate with Business and IT teams
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