Senior MLOps Engineer-1
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The role
This role focuses on administering and maintaining Databricks clusters and workspaces to support organization-wide ML initiatives.
You will monitor cluster usage and costs, enforce security controls and encryption, and ensure data security per standards.
You will facilitate seamless data ingestion and integration into Databricks from diverse sources.
You will develop and operate MLOps solutions including model monitoring, feature catalogs/stores, model lineage, and CI/CD gates for production readiness.
You will maintain live services by measuring availability, latency, and overall system health, with proactive support for users.
Ideal candidates hold a Master's degree, have 2+ years in DevOps/SRE and CI/CD tooling, strong Python/SQL (and Java/C++) skills, and proven problem-solving and communication abilities.
You will monitor cluster usage and costs, enforce security controls and encryption, and ensure data security per standards.
You will facilitate seamless data ingestion and integration into Databricks from diverse sources.
You will develop and operate MLOps solutions including model monitoring, feature catalogs/stores, model lineage, and CI/CD gates for production readiness.
You will maintain live services by measuring availability, latency, and overall system health, with proactive support for users.
Ideal candidates hold a Master's degree, have 2+ years in DevOps/SRE and CI/CD tooling, strong Python/SQL (and Java/C++) skills, and proven problem-solving and communication abilities.
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