Full‑Stack Machine Learning Engineer

A full‑stack machine learning engineer develops and deploys ML‑powered services and tools for fraud and identity analytics in a technical environment involving Python, Java, and data‑platforms such as Snowflake. They build API and data pipelines, integrate ML models into real-time systems, and automate workflows while ensuring security and compliance. The role involves collaboration with data scientists, architects, and QA teams to enhance model evaluation and transparency. Candidates should have substantial experience in software engineering, knowledge of ML serving and DevOps, and be capable of working independently. Technical skills required include Python, Java, Snowflake, and familiarity with model serving, feature engineering, and secure engineering practices.