Sr. AI Computer Vision Engineer

As a Senior AI Computer Vision Engineer at Ezio Solution, you will play a crucial role in developing, optimizing, and deploying computer vision algorithms and AI models for various real-world applications. You will be working as a part of the AI team in a fast-growing AI solutions firm. Key Responsibilities: - Design, develop, and deploy computer vision models for tasks like object detection, tracking, classification, and recognition. - Collaborate with image/video datasets for annotation, preprocessing, and data augmentation for training purposes. - Research and implement cutting-edge models such as YOLO, Faster R-CNN, Mask R-CNN, Deep SORT, etc. - Build pipelines to process real-time video feeds and conduct AI inference with optimized latency. - Optimize models using ONNX, TensorRT, or OpenVINO for edge deployments on devices like Jetson Nano/Xavier, Raspberry Pi, etc. - Collaborate closely with cross-functional teams including Data Science, Backend, and DevOps for full-stack AI deployment. - Stay updated with the latest trends and research papers in the fields of computer vision and deep learning. Key Skills & Qualifications: - Proficiency in Python and relevant libraries like OpenCV, NumPy, and scikit-learn. - Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras. - Strong understanding of CNN architectures and practical experience in training and evaluating models. - Familiarity with image annotation tools and dataset creation tools like LabelImg, CVAT, etc. - Previous experience in deploying models on edge devices or in cloud environments would be advantageous. - Bonus points for knowledge in multimodal AI (vision + language), pose estimation, 3D vision, or SLAM. Nice to Have: - Familiarity with MLOps tools like MLflow, Weights & Biases. - A degree in Computer Science, AI/ML, Data Science, or related field would be beneficial. - Experience with containerized deployments using Docker. - Knowledge of REST API development for model serving, such as FastAPI or Flask.,