Full-stack AI Correlation Engineer

Job Title: Full-stack AI Correlation Engineer
Location: Columbus, OH (Onsite)
Duration: 10 Months of Contract

Job Description:
Candidate should not focus exclusively on ML model training. That is one component of this engagement.
The delivery requires significantly broader engineering skills - Python async programming, Fast API backend development, real-time streaming with Redis, enterprise API integration with Splunk and Dynatrace, ServiceNow connectivity, vector database implementation, LLM agent development, and production deployment on enterprise infrastructure. The resource must be a full-stack AI engineer, not an ML data scientist. Someone who can build and integrate a production system end-to-end, not just train a model.

Required Skills:

• The person who builds and owns the intelligence layer.
• Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent)
• Builds the feature engineering pipeline — temporal, topological, semantic scoring
• Implements SHAP explain ability for every classification decision
• Builds and maintains the monthly retraining pipeline (Lambda MLflow)
• Implements drift detection using Evidently
• Owns model risk documentation for SR 11-7 compliance
• Must have: Python, XGBoost/scikit-learn, MLflow, feature engineering, SHAP, Kafka/stream processing, SQL.
• Financial services ML experience strongly preferred.