Full-stack AI Correlation Engineer

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, Service Now 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 explainability 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.