March 15
• Create artificial intelligence products • Shape and build efficient self-learning applications
• Exceptional skills in statistics and programming • Knowledge of data science and software engineering
• Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Train and retrain systems when necessary • Extend existing ML libraries and frameworks • Keep abreast of developments in the field
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