Bachelors degree in Computer Science, Computer Engineering, Data Science, or a closely related field, or equivalent, plus six 6 years of experience. Three 3 years of experience with AWS or similar Cloud platform. One 1 year of experience with ML infrastructure and ML DevOps. Any amount of experience in Working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations; Distributed systems and data infrastructure; Kubernetes and ML CICD workflows; Python.br br Telecommuting is allowed.

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