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prediction techniques using scalable Python-based development environments such as PyTorch or TensorFlow Cloud-native machine learning and MLOps environments such as AWS SageMaker Small or large language model
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Intelligence, Data Science, Electronic Engineering or a closely related discipline. You will have practical experience of Python for machine learning or data analysis, including experience of implementing
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in advanced machine learning models (e.g. deep learning) within the context of cross-modal pattern detection and predictive analytics (e.g. risk scoring) Programming experience in Python, Go, and/or
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