Build, test, deploy, and evaluate machine learning models using established frameworks. Support feature engineering, data preprocessing, automated training and monitoring pipelines, and production AI integration. Collaborate with engineering and product teams to define AI requirements, research performance improvements, and respond to critical IT incidents. The role requires advanced quantitative education, 5+ years of AI/ML engineering experience, Python expertise, and knowledge of deep learning and generative AI.

Leads enterprise data science and AI solution delivery, deployment, scaling, and adoption. Oversees machine learning, generative AI, and predictive model development, monitoring, governance, and integration into business workflows. Partners with technology and business stakeholders, evaluates emerging AI technologies, drives change management and value realization, and develops AI delivery teams.