Our Data Science and AI/ML team is dedicated to improving patients outcomes and lives, delighting our partners and customers, and improving the way we do business in an AI First fashion. We collaborate across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions. On any given day, our team could be working on building sophisticated models to deliver personalized recommendations to patients to improve their sleep, identify optimal equipment and settings using our unparalleled store of billion+ nights of sleep data, proactively identify other health risk factors, or help optimize complex, global supply chain operations.As a Machine Learning Ops Platform Engineer, you will be responsible for building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform. Specifically, you will code and help architect a production-grade, scalable platform to be used by dozens of data scientists. You will help define and ensure best coding & CICD practices within the team of excellent and engaged engineers. You will be given creative freedom and work in supportive team environment. You will do hands-on code development and interact with business stakeholders.Let's talk about responsibilities:
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