Machine Learning Engineer Focused on Fraud Prevention and System Optimization

About

Become a key player as a Machine Learning Engineer dedicated to preventing fraud. Lead the development of intelligent systems while ensuring reliable transaction assessments in a secure setting.
In this role, you will design systems to identify risky behaviors and transactions through advanced machine learning models. Your expertise will drive the creation of scalable feature engineering pipelines and model optimization using MLOps methods. Active participation in design reviews will further enhance team and system effectiveness.

Key Responsibilities

• Build and maintain machine learning systems to manage transaction risks
• Develop scalable feature pipelines for batch and real-time data
• Ensure model reliability and implement monitoring practices
• Engage in technical discussions to optimize team practices

Requirements

• Educational background in computer science or similar fields
• Over 2 years of machine learning systems experience
• Strong programming skills in Python, Go, or Scala
• Hands‑on experience with systems like PyTorch or numpy
• Background with cloud services, including AWS or Azure

Additional Information

Harness your machine learning expertise to create secure financial innovations while enriching user trust.

Job ID: #J-18808-Ljbffr