ML + Correlation Engineer
The Brixton Group, Inc.
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Machine Learning
Feature Engineering
Large Language Models
AWS Lambda
XGBoost
Machine Learning Operations
ServiceNow
Job description
- Design and own a three-tier classification engine using rules, XGBoost, and LLM agents.
- Build feature engineering pipelines for temporal, topological, and semantic scoring.
- Train, validate, and optimize XGBoost models using historical ServiceNow incident data from the banking environment.
- Implement SHAP explainability for every model classification decision.
- Build and maintain automated monthly model retraining pipelines using AWS Lambda and MLflow.
- Implement model drift detection using Evidently and maintain model governance documentation for regulatory compliance.
Requirements
- XGBoost model development for production machine learning classification.
- Feature engineering for temporal, topological, or semantic data.
- Model risk management aligned with SR 11-7 guidance.