Job Description

Responsibilities :
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

Preferred Skills :
Technology->Machine learning->data science,Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Artificial Intelligence->Computer Vision
Generic Skills :
Technology->OpenSystem->Python - OpenSystem->Python
Educational Requirements :
Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,BCA,Master Of Science,Master Of Technology,Master Of Engineering,MCA
Service Line :
Engineering Services

Skills Required