{"schemaVersion":"jobsearcher.job.v1","id":"febf2ec3d2cd550e709f01f5","url":"https://jobsearcher.com/jobs/febf2ec3d2cd550e709f01f5","canonicalUrl":"https://jobsearcher.com/jobs/febf2ec3d2cd550e709f01f5","title":"ML + Correlation Engineer","description":"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.","company":"Software Technology","rawCompany":"software technology","city":"Passaic","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-17T12:26:39.364Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML + Correlation Engineer","description":"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.","datePosted":"2026-09-17T12:26:39.364Z","dateModified":"2026-09-17T12:26:39.364Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Passaic","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"febf2ec3d2cd550e709f01f5"},"url":"https://jobsearcher.com/jobs/febf2ec3d2cd550e709f01f5"}}