Fraud Prevention Machine Learning Engineer

Join Remitly as a Machine Learning Engineer focused on fraud prevention. This exciting role combines innovative machine learning with user-centered design.

You will play a vital role in Remitly’s mission, needing over two years of experience to develop machine learning models. Responsibilities include designing systems that monitor risky transactions and building reliable feature pipelines. Engage in MLOps practices to optimize models and take part in code reviews to boost system efficiency.

Key Responsibilities:

• Create models to detect fraudulent transactions

• Develop engineering pipelines for real-time data processing

• Implement MLOps practices to ensure model reliability

• Engage in constructive technical code reviews

• Optimize performance of existing production models

Requirements:

• Degree in computer science, statistics, or similar fields

• 2+ years in machine learning systems development

• Proficient in Python programming

• Experience with ML frameworks such as scikit-learn

• Knowledge of cloud platforms like AWS or Azure

Leverage your machine learning skills at Remitly to enhance customer security through cutting-edge solutions.
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