Computer Vision Engineer

As a Computer Vision Engineer at our company, you will play a crucial role in developing, implementing, and optimizing deep learning models to drive advanced AI solutions across various industries. Your responsibilities will include: - Developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores - Writing maintainable, reusable code leveraging test-driven principles to develop high-quality computer vision and machine learning modules - Owning the product development milestone, ensuring delivery to the architecture, and identifying challenges - Driving innovation in the product and engineering best practices - Involvement in research and development efforts of advanced product-critical computer vision components - Solid foundation in computer vision principles such as photogrammetry, multi-view geometry, visual SLAM, and 3D reconstruction - Hands-on experience in developing efficient Computer Vision products - Experience in using and deploying optimized models for various edge devices such as NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier, and Raspberry Pi - Experience with object detection, tracking, classification, recognition, and scene understanding - Excellent knowledge of image classification, object detection, and semantic segmentation using deep learning algorithms Qualifications required for this role: - Experience in development and implementation of computer vision products with large-scale data processing/analytics - Proficiency in working with TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet, SegNet, VGG Net, etc. - Solid programming skills in Python and C/C++ - Knowledge and experience in using pykafka, kafka broker, various messaging and streaming services - Experience with GPU computing (CUDA, OpenCL) and HPC - Extensive experience in cloud platforms like AWS/Azure and Google - Ability to optimize models to TensorRT and publish for various edge devices - Experience in using NoSQL databases - Hands-on experience with Samsung Neural is an advantage - Initiative and the ability to work independently and in a team - Must have managed teams while being a hands-on technology person Join our awesome squad and apply now to be a part of our innovative team!,