ML Engineer

Responsibilities

• You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one.
• You'll work directly with Collection, Product, and other cross-functional teams to find where a better model moves the business.
• You'll take models from idea to production, then keep monitoring and improving them as real data comes in.
• Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring.
• Partner with Collection and Product to identify where a new or improved model would have the most leverage.
• Evaluate model performance against business impact, and iterate based on what you find.
• Explore and integrate new data sources, internal and external, to surface additional predictive signals.
• Build models that are scalable, observable, and maintainable in production systems.

Languages