Data Analyst

Job Description:

• 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

Key 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: