The purpose of the Machine Learning Engineer II is to apply in-depth computer science (including data structures, algorithms, computability and complexity) statistical modeling, and software engineering in machine learning operations ( MLOps ) to build cutting edge , end-to-end ML data models from ideation to deployment and scalability. The Machine Learning Engineer II is a core member of the data science and innovation team that supports the development of solutions to enable the Group increase efficiencies, reduce costs, identify opportunities that generate value and drive data as a competitive advantage. The role requires extensive experience in a range of software development and programming fields to design self-running software to automate predictive models while delivering features in a highly agile manner.
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