Full time
S&P Global
New York, NY
About the Role: Grade Level (for internal use): 10 S&P Global Corporate AI Data Engineer Location: NYC: 55 water street, two days per week onsite. Role Overview The AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This role combines data engineering expertise with AI/ML knowledge to support the organization's broader data and AI infrastructure initiatives. Key Responsibilities Design and implement specialized data pipelines for AI model metadata, training data lineage, and model performance metrics tracking. Build data infrastructure on Databricks leveraging Spark for large-scale distributed dataset processing. Develop MCP servers and enable AI data distribution via MCP. Develop feature engineering pipelines and data preprocessing workflows for AI model training and inference. Implement model versioning,...