Develop and deploy machine learning models for fraud detection and risk decisioning. Manage the full ML lifecycle, from experimentation to production, using large datasets and distributed computing. Requires 4+ years of ML experience in production, Python, SQL, Spark, and fraud/risk domain expertise.
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About the Company
The hiring company is a rapidly growing technology business focused on solving complex fraud and risk challenges at scale. Its machine learning team develops production models that influence millions of real-time decisions and help protect customers from fraudulent activity.
About the Role
The Senior Machine Learning Engineer / Applied Scientist will develop and deploy machine learning models for fraud detection and risk decisioning. This role offers ownership across the full machine learning lifecycle, from experimentation and model validation to production deployment.
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