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Join a fast-growing fintech transforming how financial institutions manage identity and risk. We’re seeking a Machine Learning Engineer to join the team powering real-time, intelligent fraud detection for leading financial platforms. You’ll design, train, and deploy production-ready models that make fraud detection faster, smarter, and more adaptive, while helping shape how AI is integrated across the company’s products.
Job Responsibility:
Build, train, and evaluate machine learning models that detect fraud in real time
Develop and maintain robust ML pipelines – from data preparation through deployment and monitoring
Research and apply the latest advancements in applied ML and fraud analytics
Requirements:
3+ years of experience in machine learning, data science, or advanced analytics, ideally with production model deployment experience
Strong programming and data skills – Python and SQL are essential
Nice to have:
Experience in fraud detection or the financial services domain
Background in startup or high-growth environments
What we offer:
Unlimited PTO and flexible hybrid schedule
401k with 100% match up to 4%
Comprehensive medical, dental, and vision plans with HSA/FSA options
16 weeks paid parental leave for eligible new parents
Catered lunches and regular in-office events fostering collaboration and community
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