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.