AI/ML Engineer 3

Working full-time on a nightshift basis, the AI/ML Engineer 3 will build and operationalize machine learning solutions to support analytics across the Quote-to-Cash lifecycle, developing models and feature pipelines while collaborating with business stakeholders and ensuring data integrity. Key responsibilities: Develop machine learning models and feature pipelines for defined use cases, ensuring adherence to standards and best practices Implement repeatable model training workflows and integrate outputs into consumer environments, collaborating with BI and platform teams Perform routine validation of training and scoring data, documenting assumptions and addressing quality risks Required qualifications: Bachelor's Degree in a relevant field or equivalent combination of coursework and experience 5-7 years of relevant work experience in machine learning and data analytics Experience with model development, feature engineering, and data validation techniques Familiarity with machine learning frameworks and tools for model training and deployment Ability to collaborate effectively with cross-functional teams and communicate complex data findings