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The architect must analyze the performance of multiple machine learning algorithms on different architectures, identify architecture and software performance bottlenecks and etc.
It is expected to research and implement novel algorithms in the artificial human domain while efficiently designing and conducting experiments to validate algorithms.
The right candidate should develop deep neural net models, techniques, and complex algorithms for high-performance robotic systems.
It is expected to work on automatic speech recognition and keyword spotting with speech enhancement in a multi-microphone system.
It is necessary to build innovative and robust real-life solutions for computer-vision applications in smart mobility and autonomous systems,
The duties include enabling full-stack solutions to boost delivery and drive quality across the application lifecycle.
The duties include the analysis of the state-of-the-art algorithms for multiple computing hardware backends and utilizing experience with machine learning frameworks.
The scientist should develop novel algorithms and modelling techniques to improve state-of-the-art speech synthesis.
The candidate should work with programming languages like R and Python to efficiently complete the life cycle of a statistical modelling process.
It is essential to support the day-to-day activities of the development and engineering by coding and programming specifications by developing technical capabilities.
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