Senior Machine Learning Engineer

Machine Learning Engineer

Duration: 6+ months Location: Jersey City, NJ (On-site 5 days/week) This role owns the intelligence layer for a large-scale incident classification platform within a financial services environment. The Machine Learning Engineer will design and operationalize a multi-tier classification engine combining rules-based logic, Extreme Gradient Boosting (XGBoost), and large language model (LLM) agent workflows.

Requirements:

• Python
• XGBoost
• MLflow
• Kafka Streaming
• SQL

Responsibilities:

• Design the three-tier classification engine using rules-based logic, XGBoost, and LLM agent orchestration.
• Build feature engineering pipelines for temporal, topological, and semantic scoring models.
• Train and validate XGBoost models using historical ServiceNow incident datasets.
• Implement SHAP for classification transparency and audit readiness.
• Develop automated monthly retraining pipelines using AWS Lambda and MLflow.
• Implement model drift detection frameworks using Evidently.