10+ years

Job Description:

Role 1: ML + Correlation Engineer

The person who builds and owns the intelligence layer.

• Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent)
• Builds the feature engineering pipeline — temporal, topological, semantic scoring
• Trains and validates XGBoost on JPMC's ServiceNow historical incident data
• Implements SHAP explainability for every classification decision
• Builds and maintains the monthly retraining pipeline (Lambda + MLflow)
• Implements drift detection using Evidently
• Owns model risk documentation for SR 11-7 compliance

Must have: Python, XGBoost/scikit-learn, MLflow, feature engineering, SHAP, Kafka/stream processing, SQL. Financial services ML experience strongly preferred.