Found Description
Summary
As an Intermediate AI DevOps Engineer you are a skilled practitioner responsible for making the AI enablement vision a reality. This role involves supporting and executing within established frameworks to implement AI best practices, drive adoption, and ensure seamless AI integration across various business units (BUs).
Key Responsibilities
- AI Standardization & Adoption: Implement AI best practices and actively support their adoption across engineering teams.
- Cross‑BU Collaboration: Work closely with different BUs' teams to ensure successful integration of AI capabilities and MLOps practices.
- MLOps Implementation & Configuration: Set up and configure MLOps tools, CI/CD pipelines, and infrastructure components according to established architectural designs.
- Developer Support: Directly assist development teams in utilizing enablement capabilities, troubleshooting pipe...
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