Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies
Job Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Create efficient and real-time convolutional neural network (CNN) models utilizing deep learning frameworks such as TensorFlow, Caffe, Pytorch for AI model development and OpenCV, eigen,LAPACK, GMTL for the image processing.
Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.
Matching Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Skills & Requirements
Must-have
Computer Vision algorithm development
Deep learning methodologies
Convolutional neural network models
TensorFlow, Caffe, Pytorch
OpenCV, eigen, LAPACK, GMTL
Python and C++ coding
2D/3D sensor algorithms
Nice-to-have
Model quantization, pruning, knowledge distillation
TensorRT, Deepstream, OpenVino, TRITON
Sensor interfaces and calibration
Kalman filters, particle filters, clustering
Key Requirements
Minimum 4 years of experience
Solid foundation in image processing, neural networks, CNNs, vision transformer architectures