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., atmospheric correction), spectral unmixing, and variable retrieval, feature extraction. Experience working with cloud-based platforms and large-scale EO data workflows. Strong programming skills with experience
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PyTorch or ONNX. Demonstrated experience working with large-scale data processing and deployment (local and cloud) including SQL database technologies. Demonstrated ability to represent complex data
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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI
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microservices architecture and Kubernetes. Knowledge of AWS, Terraform, and other cloud technologies Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including