Machine Learning Engineer

About

Revolutionize fraud prevention as a Machine Learning Engineer. Employ advanced Python coding to enhance model performance in a fully remote setting.

As part of the ML Fraud team, you will focus on building robust fraud detection systems. This involves developing cutting-edge predictive models using diverse data sources, and working within a collaborative environment to prototype solutions and integrate them into existing systems. Your contributions will ensure the integrity of transactions and enhance user experience.

Contribute to innovative fraud detection solutions that enhance customer trust and streamline transaction processes.

Responsibilities

• Design and improve fraud prediction models
• Scale feature pipelines with proprietary and third-party data
• Drive the transition of models to production environments
• Ensure model reliability and operational efficiency
• Collaborate on defining evaluation metrics and trade-offs

Requirements

• 2+ years of machine learning experience or PhD
• Strong Python programming skills
• Experience with classification models and frameworks
• Familiarity with deep learning and distributed frameworks
• Skilled in using ML monitoring tools