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The Quantum Machine Learning Engineer, also known as The Quantum AI Trailblazer, is responsible for developing and implementing innovative quantum machine learning (QML) algorithms that leverage quantum computing to solve complex problems beyond the capabilities of classical systems. This role involves collaboration with quantum physicists, AI researchers, and software developers to create hybrid quantum-classical systems that enhance machine learning applications across various industries.