AI/ML Engineer

The AI/ML Engineer will be responsible for MLOps and the end-to-end operationalization of machine learning models within a secure, agentic AI framework. Responsibilities include designing and implementing model ingestion pipelines to onboard new models and datasets, automating the extraction, transformation, and loading (ETL) of model metadata into standardized registries, and integrating metadata into unified data ontology structures. The role also involves developing automated model evaluation loops, building scoring logic and performance scorecards, implementing continuous data/model drift monitoring, and building explainability layers for model transparency. The engineer will integrate reporter agents to automatically collect model outputs and enable human-in-the-loop checkpoints through interactive dashboards.