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The Machine Learning Engineer II is responsible for building, testing, and deploying ML based software applications to solve moderately complex internal and customer facing automation problems. As part of the AI & Analytics Innovation Team, this role will work together with engineers and data scientists to rapidly prototype, evaluate, and deploy solution to solve QTS's most demanding automation challenges. The Machine Learning Engineer II will develop ML based software applications that drive operational outcomes for internal teams as well as customers. Additionally, this role will identify ML software issues and recognize/implement additional features for existing software and leverage experience with machine learning model development/deployment, data preparation, and API based system integration.
