Machine Learning Engineer

An early-stage, well-funded AI fintech startup is transforming the way credit risk teams make decisions with cutting-edge AI-powered cashflow analytics.Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.We're looking for an ML Engineer who thrives at the intersection of modeling, engineering, and product. You'll design and ship production-ready models, build APIs for real-time decisioning, and create the analytics layer that powers the next generation of fintech applications.You'll report directly to the Director of Engineering, with full ownership of impactful projects—from research and prototyping to production deployment.What You'll DoDevelop and scale ML models for affordability, risk, and predictive analyticsBuild data pipelines and APIs that bring ML into production at scaleCollaborate with product, data, and engineering teams to ship customer-facing featuresExperiment with different approaches, knowing when to use ML—and when not toDrive innovation in model performance, monitoring, and reliabilityWho You AreStrong product mindset with a passion for solving real customer problemsHands‐on ML engineer comfortable going end-to-end (research → data xmcpwfu pipelines → production)Experienced in Python, modern ML frameworks, and distributed systemsHigh‐quality standards but able to move fast and ship iterativelyExcited about working in a high-ownership, early‐stage startup environmentThis is a rare opportunity to join a mission‐driven team led by a repeat founder with multiple successful exits.