Own model recalibration on a scheduled cadence, maintaining documented accuracy and precision thresholds for each model before any commercial reliance is permitted.
In-depth of knowledge and expertise that can be applied to all aspects of the software development lifecycle, as well as partner continuously with multiple stakeholders regularly to stay focused on common goals.
Own the engineering standard for the FDE track, including solution architecture patterns, engineering practices, testing, evaluation, production readiness and operational support requirements.
Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.