Full‑Stack Machine Learning Engineer

The position involves developing and deploying machine learning services, full‑stack applications, and supporting fraud and identity analytics. The role requires collaboration across backend services, model‑serving pipelines, and user interfaces to deliver scalable solutions. Responsibilities include creating ML inference APIs, microservices, and data pipelines, along with automating training, monitoring, and evaluation workflows. Candidates should have experience in Python, Java, and data platforms like Snowflake, with familiarity in ML model deployment and feature engineering. Strong ownership, independent execution, and knowledge of DevOps and security standards are essential. The role involves technical engagement with data scientists, architects, and QA teams to ensure optimal performance.