Join a next-generation investment and technology team in New York City as a Machine Learning  Operations Engineer. This firm is building a proprietary AI and data platform that powers an end-to-end investment lifecycle—integrating structured and unstructured data, advanced analytics, and automated workflows to drive superior, risk-adjusted performance. Their multidisciplinary team of engineers and investors is redefining how institutional-grade decisions are made across private credit and structured finance.

Purpose

They are seeking an experienced Operations Engineer to design, build, and maintain the platform for robust ML/AI pipelines that support investment research, underwriting, and multi-asset trading strategies. The ideal team member brings deep expertise in MLOps, ML Infrastructure and Data Pipeline Engineering—ensuring that models are deployed efficiently, consumed reliably, and monitored with full transparency.