Description

You will lead the development and scaling of AI systems using large-scale enterprise data.

This role is on-site.

Responsibilities

• Build and expand data curation infrastructure supporting AI model training for enterprise spend data.
• Develop and maintain data pipeline infrastructure processing trillions of dollars of enterprise spend data.
• Implement commodity classification and supplier normalization systems to improve data quality.
• Create and optimize benchmark metrics systems for large-scale data insights.
• Collaborate with cross-functional teams to enhance the total spend management platform with AI capabilities.

Required Skills

• 5+ years of professional experience in relevant engineering roles.
• Expertise in AI Engineering and Machine Learning principles.
• Strong background in Data Pipeline Development and Big Data Processing.
• Proficiency in Data Architecture design and implementation.
• Experience working with large datasets, including anonymized data exports across numerous tables.
• Knowledge of enterprise data management practices.

Preferred Skills

• Experience with large-scale enterprise spend data.

Key Skills

Education

Any Graduate