
Machine Learning Engineer
Role focused on designing, building, and operating production-grade agentic solutions that leverage large language models to detect and prevent fraud, abuse, and other security threats at scale. Responsibilities include model evaluation, cloud-based training/deployment (e.g., Azure AI Foundry), identifying product vulnerabilities, and cross-functional collaboration. Qualifications include technical ML/software experience (options listed include 4+ years ML experience or Bachelor's + 2+ years, or Master's/equivalent).









