As a Lead Quality Assurance Engineer on the Applied Machine Learning team at Hudl, you will provide technical leadership and build quality infrastructure for the MLOps platform. Your role involves collaborating with various squads to enhance quality initiatives, proactively identifying risks in the ML product lifecycle, and mentoring team members to foster a culture of quality and innovation. You will also be hands-on in writing code and implementing quality solutions to ensure efficient delivery of ML products.
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