Machine Learning Engineer
Core
Build, maintain, and scale ML infrastructure end-to-end for credit underwriting, fraud detection, and credit scoring models serving real-time predictions at millions of requests per day.
Role type
Machine Learning Engineer (Production)
Builds
Core credit models, infrastructure, and tooling for real-time credit decisions and fraud signals.
Domain
Fintech / Credit Lending / Machine Learning
Deliverable
production ML models
Required skills
Python, XGBoost, scikit-learn, pandas, numpy, ML pipeline construction, feature engineering, model deployment, real-time prediction systems, drift monitoring, reject inference, deep generative approaches, LLMs/agentic AI, structured and unstructured data processing
Technologies
XGBoost, scikit-learn, pandas, numpy
Responsibilities
Build and scale ML infrastructure for feature computation and model training/deployment; implement observability and drift monitoring; evaluate selection bias in credit models; explore LLMs/agentic AI for feature generation and analysis; collaborate with underwriting and product teams to build signals for creditworthiness.
Seniority
Mid-level, hands-on IC
