Top AI & Machine Learning Jobs in Charlotte, NC

Lead model risk audits across development life cycles: review design, training, evaluation, validation, and implementation of ML models. Partner cross-functionally to surface model risk issues, apply NLP and Generative AI methods, and communicate findings to stakeholders and the Audit Committee.

Review and audit machine learning models and model risk practices across the enterprise. Partner with cross-functional teams to design, train, evaluate, validate, and implement ML and NLP solutions, using tools like Python, Spark, H2O, and AWS. Translate technical findings into business recommendations and assurance for stakeholders and the Audit Committee, while researching and applying emerging Generative AI and state-of-the-art methods.

The role involves leveraging technologies like Python and AWS to develop statistical and machine learning models, translating complex data insights into business goals, and working with a cross-functional team.

Lead development and delivery of GenAI/AI products for Commercial Banking. Define product specs, manage roadmaps, prioritize features, collaborate with data scientists, engineers, and cross-functional stakeholders, and serve as PM for a cross-functional pod to drive iterative quarterly delivery.

Lead development and evaluation of statistical and machine learning models to assess credit risk and challenge production models. Use Python, cloud, and big-data tools to analyze large numeric and textual datasets, partner with cross-functional credit risk and product teams, translate technical findings into business actions, and drive model validation, backtesting, and innovation.