Design, develop, train, and deploy production-grade machine learning and deep learning models for computer vision applications including image classification, object detection, segmentation, and feature extraction. Build end-to-end ML pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring on large-scale image datasets.… Optimize distributed training across multiple GPUs, apply model explainability techniques, and leverage AWS SageMaker for scalable training and inference. Lead and mentor ML engineers and data scientists while driving continuous improvements through experimentation and performance optimization.
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