Overview

We are looking for a Machine Learning Engineer to join our team, building data and machine learning infrastructure for Credit Risk systems. In this role, you will work closely with Data Scientists, Risk Policy, and Engineering teams to help productionize machine learning models, maintain large-scale data pipelines, and support real-time decision systems. You will also have the opportunity to explore how AI technologies can improve model monitoring, data quality, and developer productivity across the risk team. This role is ideal for engineers who enjoy working at the intersection of data engineering, machine learning systems, and platform infrastructure, and who want to build reliable systems supporting risk decisioning at scale.

Responsibilities

• Support the deployment of machine learning models into real-time and batch risk decision systems.
• Build and maintain infrastructure for model serving, distributed inference, and produc...