Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. * Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications. * Drive your project and work with experienced , machine learning engineers, and to deliver customer value and allow you to develop your skill-set further. * Proven record of implementations in the prototyping, development, and productionizing of machine learning solutions, particularly in ban
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