Machine Learning Engineer

• Design and implement robust Python services and libraries to power real-time fraud detection and compliance monitoring systems.
• Build scalable batch and streaming data pipelines for feature building, model inference, and training, with strong guarantees for data quality, latency, and reliability.
• Develop and operate a developer-friendly ML platform, including feature stores, data validation tooling, and model-training pipelines with automated quality checks.
• Support ML model lifecycle management — from feature engineering and experimentation to deployment, monitoring, and performance tuning.
• Manage and optimize real-time data infrastructure, leveraging technologies such as Kafka, Apache Flink, and Kubernetes/Nomad.
• Mentor junior engineers, foster best practices, and help shape a strong engineering culture.

Senior AI/ML Engineer

Staff Machine Learning Engineer

Principal Decision Scientist – Machine Learning Engineer

SOAR & AI Lead

Machine Learning Engineer – Deployments Team

AI Architect