AI Engineer - MDM
Eaton (company site, opens in a new tab)4–6 yrsPuneHybridDirect career pageEst. 12–20 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain AI-enabled solutions to enhance Master Data Management processes, focusing on data quality, consistency, automation, and stewardship effectiveness.
- Collaborate with cross-functional teams to design and implement AI and automation workflows for data readiness, validation, cleansing, and migration in MDM deployments.
- Ensure AI solutions comply with governance, privacy, cybersecurity standards, and support monitoring, validation, and human-in-the-loop review to maintain business accountability.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
- 4–6 years of experience in AI/ML, analytics, automation, MDM, or data governance.
- Technical skills including Python, SQL, Snowflake, Power BI, and knowledge of Stibo STEP / PIM for data migration, validation, cleansing, and mapping.
- Not explicitly mentioned: notice period and strict location or regulatory requirements.
Ideal Candidate Profile
- Experienced in integrating AI capabilities with enterprise MDM platforms and driving automation to improve data quality and operational efficiency.
- Comfortable working independently and collaboratively across business, IT, governance, and stewardship teams.
- Proficient in building scalable, maintainable AI solutions aligned with long-term data governance and MDM strategies.