Machine Learning / AI Engineer Computer Vision Specialist

Design, develop, and implement end-to-end computer vision models Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc. Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks Handle large-scale visual data and optimize pipelines for training, inference, and deployment Collaborate with cross-functional teams including software engineers, product owners, and clients Ensure robustness, accuracy, and scalability of deployed models in production environments Stay current with trends in computer vision research and integrate best practices into development Required Skills & Qualifications: Bachelor's/Masters degree in Computer Science, AI, Machine Learning, or a related field 5 to 7 years of relevant experience in Machine Learning / AI, with at least 3+ years in Computer Vision Strong command over Python, OpenCV, TensorFlow/PyTorch, Keras, and related libraries Experience working with image processing, annotation tools, and video analytics Solid understanding of deep learning architectures (ResNet, YOLO, EfficientNet, etc.) Familiarity with model deployment using APIs, cloud platforms (AWS, Azure, GCP), or edge devices Proven ability to translate business needs into scalable AI solutions Preferred Skills (Good to Have): Experience with real-time video analytics Knowledge of edge deployment (e.g., Jetson Nano, OpenVINO) Exposure to MLOps practices and tools Prior work in OCR/NLP-CV hybrid use cases .