Role ML + Correlation Engineer (Full-Stack AI Engineer) | In-person interview required | W2 Only |

Role: ML Correlation Engineer (Full-Stack AI Engineer)
Locations: Jersey City NJ Columbus OH Dallas TX
Contract role.

• Build and own the intelligence layer for correlation and classification
• Design and implement multi-tier classification engine (rules XGBoost LLM agents)
• Develop feature engineering pipelines (temporal topological semantic scoring)
• Train validate and optimize ML models using historical incident data
• Implement SHAP-based explainability for model decisions
• Build and manage model retraining pipelines (Lambda MLflow)
• Implement model monitoring and drift detection (Evidently)
• Develop real-time streaming pipelines (Kafka/Redis)
• Build backend services using Python (FastAPI async programming)
• Integrate with enterprise systems (ServiceNow Splunk Dynatrace)
• Implement vector databases and LLM-based agents
• Deploy and maintain production-grade AI systems on enterprise infrastructure
• Maintain model risk documentation (SR 11-7 compliance)

• Strong Python engineering (async programming FastAPI)
• ML frameworks: XGBoost scikit-learn
• ML lifecycle tools: MLflow
• Feature engineering & model explainability (SHAP)
• Streaming technologies: Kafka / Redis
• Strong SQL skills
• Experience with API integrations (ServiceNow Splunk Dynatrace)
• Experience with LLMs vector databases and agent-based architectures
• Production deployment experience in enterprise environments

• Financial services / banking ML experience
• Experience with model governance and compliance (SR 11-7)

• This is a full-stack AI engineering role not a pure data science position
• Candidate must be able to build integrate and deploy end-to-end production systems