The AI ML Analyst II implements and supports the minimum viable product data requirements within the data lake team. Data Analysts and Data Scientists define these requirements and the Data Architect validates them. The role focuses on the technical configuration aspects of the data lake, including the design and implementation of data ingestion and integration frameworks.

Key Responsibilities Partner with AI/ML product teams to proactively identify the data needs for rapid experimentation, stable production deployment and ensure the required data availability by collaborating with Product teams. Support the Data Analysts, Data Scientists, MLOps engineers in developing optimized data models, pipelines and frameworks. Build pipelines to ingest, clean, and transform structured, semi-structured and unstructured data (text, images, pdf, etc.) formats. Conduct data profiling, validation, and anomaly detection to identify quality issues early in the lifecycle. Build vector databases...