Senior Machine Learning Engineer Fraud Models

Position: Senior Machine Learning Engineer for Fraud Models
Join the fight against fraud as a Senior Machine Learning Engineer. Utilize your expertise to develop and monitor sophisticated models remotely.

This position focuses on creating and refining machine learning systems that make real-time fraud decisions. You will collaborate with various teams to establish model integrity and ensure compliance with evolving fraud patterns. Your insights will drive robust risk management strategies, directly impacting consumer experiences.

Key Responsibilities:

• Innovate and iterate on fraud detection models

• Build quality training datasets and feature pipelines

• Transform model prototypes into operational decisions

• Monitor data health and establish retraining workflows

• Work cross-functionally to clarify project requirements

Requirements:

• 2+ years in machine learning or PhD background

• Proficient in writing production-level Python code

• Experience in classification modeling and frameworks

• Knowledge of deep learning and data processing tools

• Familiarity with ML lifecycle orchestration tools

Guide the development of effective fraud detection methods, enhancing safety and transparency in financial transactions.
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