Senior Machine Learning Engineer
Posted
Duration: 6+ months
Location: Onsite in Jersey City, NJ
Role Impact:
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:
(phone number removed)
Location: Onsite in Jersey City, NJ
Role Impact:
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
- 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.
(phone number removed)
Easy Apply