- Computer Vision modeler who will develop real time computer vision models like
- Python Pytorch tensorflow
- CV ML model development
- Object recognition Detection
- NVIDIA technologies
- MLOps
- 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
Technology->Artificial Intelligence->Computer Vision,Technology->Machine learning->data science,Technology->Artificial Intelligence->Artificial Intelligence - ALL