AI/ML Engineer 3

Job Summary

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