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Director MLOps Engineering
About the Role: Grade Level (for internal use): 13 The Role: Director MLOps Engineering The Team: The Data Science COE at S&P Global in delivers AI capabilities and advancements to our Ratings products and services. AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. Responsibilities: MLOps Strategy: Develop and implement MLOps strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop roadmap and strategy for MLOps and LLMOps Platforms and model lifecycle implementation ML Architecture Design and Development: Responsible for the design and development of custom architecture for bat

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