Hybrid Senior ML Engineer — Real-Time Fraud Platform

GEICO; Northern (KY); Hybrid; USD 150,000 - 300,000; Full time

Job summary

GEICO is seeking a Senior Staff Machine Learning Engineer to architect scalable, real-time fraud platforms and lead cross-functional AIML teams. The role emphasizes reliability, interpretability, and governance across data ingestion, feature engineering, model training, deployment, and monitoring in a production environment.

The candidate will collaborate with data scientists, software engineers, and product teams to deliver robust ML solutions that protect millions of customers.

Qualifications

• 15+ years designing, implementing, and optimizing AIML systems in production.

Responsibilities

• Architect and implement scalable, high-performance ML platforms and systems.
• Design end-to-end AIML pipelines from data ingestion to deployment and monitoring.
• Lead across multiple ML feature teams and provide technical guidance.
• Prototype advanced ML algorithms and stay updated with industry trends.
• Oversee lifecycle of ML models, including testing, deployment, and retraining.

Skills

Python

Java

Airflow

Kubernetes

Spark

MongoDB

Snowflake

Neo4j

Redis

TensorFlow

PyTorch

Scikit-learn

Education

Bachelor's degree in ML/CS

Master's or PhD desirable

Tools

Airflow

DBT

Kubernetes

Spark

MongoDB

Snowflake

Neo4j

Redis

Job description

GEICO is seeking a Senior Staff Machine Learning Engineer to architect scalable, real-time fraud platforms and lead cross-functional AIML teams. The role emphasizes reliability, interpretability, and governance across data ingestion, feature engineering, model training, deployment, and monitoring in a production environment.

The candidate will collaborate with data scientists, software engineers, and product teams to deliver robust ML solutions that protect millions of customers.