Role ML + Correlation Engineer (Full-Stack AI Engineer) | In-person interview required | W2 Only |
Job Location:
Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role: ML Correlation Engineer (Full-Stack AI Engineer)
Locations: Jersey City NJ Columbus OH Dallas TX
Contract role.
In-person interview required.
Key Responsibilities:
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)
Required Skills:
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
Nice to Have:
Financial services / banking ML experience
Experience with model governance and compliance (SR 11-7)
Note:
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
Required Experience:
IC
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