Job Description
Job Description
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.