Job Description

Skills: TensorFlow, Pytorch, Mxnet, Onnx ,OpenCV , Python, Keras, Numpy, Pandas, Openvino, TensorRt, Linux , Scripting Amazon AWS, AWS Sagemaker
Experience : 1+ Years
Responsibilities :
• Research, prototype and survey different DL networks/algorithms that are the current state-of-art and model optimization techniques (e.g., compression, quantization).
• Develop and contribute to the implementation of various computer vision related applications as needed.
• Want experience Processing both human and inanimate objects: Real-time Object Detection techniques for 2D/3D objects, o Semantic/Instance/Pantonic segmentation, o Hand gesture recognition.
• Generating the public domain training pipeline - Training dataset design, augmentation, and validation.
• Evaluate metrics to help improve productivity
• Keep project manager informed of platform enhancement ideas, risks, and issues
Required Qualifications and Skills
• AI domain needed is computer vision. Not looking for someone out of college with one year experience. Work experience is required.
• Strong expertise with DL frameworks like TensorFlow, Pytorch, Mxnet, Onnx.
• Want experience Processing both human and inanimate objects: Real-time Object Detection techniques for 2D/3D objects, o Semantic/Instance/Pantonic segmentation, o Hand gesture recognition.
• Real-time Object Detection techniques for 2D/3D objects,Semantic/Instance/Pantonic segmentation,Hand gesture recognition,Training dataset design, augmentation, and validation.
• Experience in working with large data sets and developing ML infrastructure pipelines.
• Strong experience with python, and OpenCV required.
• Strong expertise with DL frameworks like TensorFlow, Pytorch, Mxnet, Onnx etc.

Skills Required