ML + Correlation Engineer

Role 1: ML + Correlation EngineerThe person who builds and owns the intelligence layer.Responsibilities:Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent)Builds the feature engineering pipeline — temporal, topological, semantic scoringTrains and validates XGBoost on JPMC's ServiceNow historical incident dataImplements SHAP explainability for every classification decisionBuilds and maintains the monthly retraining pipeline (Lambda + MLflow)Implements drift detection using EvidentlyOwns model risk documentation for SR 11-7 complianceMust have: Python, XGBoost/scikit-learn, MLflow, feature engineering, SHAP, Kafka/stream processing, SQL. Financial services ML experience strongly preferred.