Senior Machine Learning Modeler
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To optimize Risk Operations at scale, the full-time Senior Machine Learning Modeler will experiment with and deploy AI copilot and autopilot systems, manage end-to-end machine learning processes, and collaborate cross-functionally to enhance decision-making and user safety remotely from any location in the United States or Canada.
Key responsibilities
Experiment and deploy AI systems to improve analyst productivity and eliminate manual decision loops
Own the end-to-end machine learning system, including API integration, prompt tuning, and performance monitoring
Collaborate with product, engineering, and operational teams to deploy and optimize production-grade systems
Required qualifications
8+ years of experience in machine learning modeling, with a preference for full stack ML expertise
A Master's or advanced degree in computer science, data science, or a related technical field
3+ years of experience with AI engineering and large language models, with traditional NLP techniques as a strong plus
Proven experience in building and deploying performant ML/AI systems at scale
Demonstrated ability to independently drive programs with significant business impact across multiple stakeholders
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