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About the role
Job Description: Key Responsibilities: - 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 (Positive 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 .
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