Senior ML Architect, Fraud Risk Platform

Geico; Bethesda (MD); On-site; USD 150,000 - 300,000; Full time

Job summary

GEICO is transforming insurance with AI. As a Senior Staff Machine Learning Engineer in Fraud Risk Modeling, you will architect scalable ML platforms, lead cross-functional teams, and drive real-time, multi-modal fraud defenses across claims, payments, and identity risk.

This high-impact role requires 15+ years in AIML, strong Python/Java, and experience with cloud services and governance; you will mentor others and push for robust monitoring and compliance.

Qualifications

• 15+ years hands-on AIML experience in production environments.
• Strong background in large-scale data pipelines and real-time AIML serving.
• Proficiency in Python or Java with coding excellence.

Responsibilities

• Architect scalable, high-performance ML platforms and pipelines.
• Lead ML feature teams, provide design reviews and performance tuning.
• Oversee model monitoring, retraining, and governance for production systems.

Skills

Python

Java

Airflow

Kubernetes

Spark

TensorFlow

PyTorch

Scikit-learn

SQL

MongoDB

SageMaker

Education

Bachelor's degree in CS/Math/Statistics

Advanced degree (MS/PhD) desirable

Tools

Airflow

DBT

Kubernetes

SageMaker

Job description

GEICO is transforming insurance with AI. As a Senior Staff Machine Learning Engineer in Fraud Risk Modeling, you will architect scalable ML platforms, lead cross-functional teams, and drive real-time, multi-modal fraud defenses across claims, payments, and identity risk.

This high-impact role requires 15+ years in AIML, strong Python/Java, and experience with cloud services and governance; you will mentor others and push for robust monitoring and compliance.