ML Ops Engineer for Edge & Cloud Data Engine
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Decisive Point in Sunnyvale, California, is seeking an experienced MLOps engineer to join the Axion Data team. This role involves building the data engine for perception models and optimizing their execution both on the cloud and the edge.
The ideal candidate has over 5 years of relevant experience, familiarity with ML infrastructures like Docker and Kubernetes, and a strong understanding of machine learning processes. Competitive compensation includes base salary and equity, with a salary range of $125,000 - $222,000 USD annually.
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