SDE-1 (Computer Vision Engineer)

Responsibilities Solve real-world Computer Vision problems using cutting-edge techniques. Design and implement robust, industry-grade algorithms. Utilize OpenCV, Python, and deep learning frameworks for model training. Work with deep learning libraries such as Keras, TensorFlow, and PyTorch. Develop integrations with internal and external microservices. Implement deployment practices using Docker, Kubernetes, and model compression techniques. Research the latest technologies and develop proof of concepts (POCs). Build and train state-of-the-art deep learning models for: Object Detection (Mandatory) Segmentation Classification Object Tracking Visual Style Transfer Generative Adversarial Networks (GANs) Collaborate with researchers and engineers to develop and deploy Computer Vision solutions. Plan and execute Computer Vision research projects, defining scope, objectives, and deliverables. Provide specialized technical and scientific research support for ongoing and new AI initiatives. Requirements Required Skills C++ (Mandatory) Python (Mandatory) Image Processing (Mandatory) Computer Vision (Mandatory) Deep Learning (Mandatory) Object Detection Machine Learning Pattern Recognition Artificial Intelligence (AI) Data Science Generative Adversarial Networks (GANs) Flask SQL