Computer Vision Engineer

You are a talented and motivated Computer Vision Engineer with 4-12 years of experience, specializing in Image processing, Object detection, Yolo, Deep Learning (Pytorch/Tensorflow/Keras), and Machine Learning technologies. As a valuable member of our dynamic team, you will be responsible for developing, implementing, and optimizing cutting-edge AI solutions to enhance our products and services. Your responsibilities will include working on real-world computer vision problems, writing robust industry-grade algorithms, and utilizing OpenCV, Python, and deep learning frameworks to train models. You will be expected to work on Deep Learning technologies such as Keras, Tensorflow, PyTorch, among others, and develop integrations with various in-house or external microservices. Experience in deployment practices like Kubernetes, Docker, and model compression practices will be essential. Additionally, you will research the latest technologies, develop proof of concepts (POCs), and build and train state-of-the-art deep learning models to address Computer Vision-related challenges such as Segmentation, Object Detection, Classification, Objects Tracking, Visual Style Transfer, and Generative Adversarial Networks (GANs). Collaborating with other researchers and engineers, you will deploy solutions for complex real-world problems in the field of Computer Vision and plan research projects, defining objectives and outcomes. Your expertise should include C++, Python, Object Detection, Image Processing, Computer Vision, Deep Learning, Artificial Intelligence, Pattern Recognition, Machine Learning, Data Science, Generative Adversarial Networks (GANs), Flask, and SQL.,