Independently conducts work in the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraries, and ML models. Experience with end to end delivering of machine learning solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.