ML + Correlation Engineer

Role: ML + Correlation Engineer
Location: 3 Days onsite Jersey City
Exp. Range: 9+ years

Type: W2 Only

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 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.

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Pay: $55.00 - $60.00 per hour

Experience:

• XGBoost: 2 years (Required)
• LLM: 2 years (Required)

Work Location: Hybrid remote in Jersey City, NJ 07097