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6+ years of experience in software, data, or ML engineering roles.
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Strong hands-on experience with tools like MLflow, Meta flow, Airflow, or similar orchestration frameworks.
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Production experience with Kubernetes, Docker, and Helm.
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Deep understanding of Python and software engineering best practices.
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Experience implementing CI/CD pipelines and infrastructure-as-code in a cloud or hybrid environment.