You will leverage your strong modelling skills and ability to extract valuable insights from highly complex data sets in computer vision use cases.

Responsibilities

Develop, optimize and deploy cutting-edge computer vision models to solve complex computer vision use cases.
Utilize ML, DL, and NVIDIA platforms to deliver scalable and efficient solutions.
analyze large volume of images/videos to extract meaningful insights.
Design advanced CV models for tasks such as object detection, image recognition, segmentation and video analytics.
Utilize different object tracking algorithms and track multi objects in
multi cameras.
Work 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.
Develop scalable, GPU accelerated solutions for CV workloads using NVIDIA platforms like NVIDIA jetson, DGX system, Triton inference server.

Qualifications

Masters Degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
Experience with Python, Pytorch, tensorflow
Experience with CV/ML model development
Object recognition/Detection
Working knowledge of NVIDIA technologies
MLOps

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