Job Description
**Job Purpose and Impact**
The AI Engineer will design and build AI-enabled solutions that enhance Data Management and Data Governance capabilities across Cargill. In this role, you will apply machine learning, generative AI, and automation to improve data quality, metadata management, master data, data classification, lineage, and governance workflows—helping ensure data is trusted, compliant, and business-ready. You will collaborate closely with Data Engineering, Data Domain & Governance, Architecture, Security, and Business/Function teams to embed intelligence into core data platforms and processes.
**Key Accountabilities**
+ DATA PREPARATION MANAGEMENT: Conducts extraction and integration of moderately complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
+ DATA ANALYSIS: Reviews moderately complex data sets for exploratory data analysis to iden...
The AI Engineer will design and build AI-enabled solutions that enhance Data Management and Data Governance capabilities across Cargill. In this role, you will apply machine learning, generative AI, and automation to improve data quality, metadata management, master data, data classification, lineage, and governance workflows—helping ensure data is trusted, compliant, and business-ready. You will collaborate closely with Data Engineering, Data Domain & Governance, Architecture, Security, and Business/Function teams to embed intelligence into core data platforms and processes.
**Key Accountabilities**
+ DATA PREPARATION MANAGEMENT: Conducts extraction and integration of moderately complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
+ DATA ANALYSIS: Reviews moderately complex data sets for exploratory data analysis to iden...
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