IntelliVision - Computer Vision Engineer - C/C++

Location : Pune Employment Type : Full Time Job Description : As a Computer Vision and AI Engineer, you will play a crucial role in developing and optimizing AI-driven computer vision solutions for embedded systems. You will work alongside a team of experts to design, implement, and deploy machine learning models across various embedded platforms, ensuring high performance and efficiency. Key Responsibilities : - Develop and implement machine learning and deep learning models for video processing and analysis. - Optimize computer vision models for deployment on embedded systems, including techniques such as pruning, quantization, and architecture-specific optimization. - Port models to NVIDIA GPUs and various embedded platforms (e., ARM CPUs, NPUs like Ambarella, Sigmastar, Qualcomm) using frameworks such as TensorFlow Lite and other vendor-specific embedded deep learning frameworks. - Utilize and integrate major deep learning platforms, including TensorFlow, Caffe, and PyTorch, with OpenCV and other computer vision libraries. - Collaborate with cross-functional teams to address challenges in security, surveillance, and Advanced Driver Assistance Systems (ADAS) applications. - Write and maintain high-quality code in C/C++ and Python for performance-critical applications. Required Skills and Experience : - 2 to 7 years of experience in machine learning and deep learning, especially in the video domain. - Proficiency with major machine learning frameworks (TensorFlow, PyTorch, Caffe) and computer vision libraries (OpenCV). - Experience in porting and optimizing models on embedded platforms (e., ARM CPUs, NPUs). - Strong programming skills in C/C++ and Python, with a focus on performance optimization. - Familiarity with development in Linux environments and porting C/C++ code for embedded Linux/Android platforms. - Experience developing solutions for security, surveillance, or ADAS applications, and working with convolutional neural network (CNN) models like YOLO and SSD. - Understanding of machine learning algorithms, including CNN, RNN, LSTM, SVM, Random Forest, and XGBoost (ref:hirist.tech)

Location: pune, IN

Posted Date: 11/24/2024