Roles and Responsibility : Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency Build data solutions that leverage controls to ensure privacy, security, compliance and data quality Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines. Deep understanding of cutting edge cloud technology and frameworks to enable Data Science System integration skills between Business Intelligence and source transactional Improving overall production landscape as required Define strategies with Data Scientists to monitor models post production Write unit tests and participate in code reviews

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