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Mid-level AI role at a known multinational in Pune with common required skills increases candidate competition.
Requires engineering-domain NPI/DFMEA knowledge plus production AI skills, limiting cross-industry transferability.
Explicit 4-7 years plus Azure, Python, and production deployment experience enforces strict filters.
Design, build, test, and deploy AI-enabled tools embedded within engineering workflows to improve efficiency and consistency of engineering processes.
Develop end-to-end AI solutions including prompt logic, data preparation, orchestration, error handling, and integration with Microsoft Teams, SharePoint, or engineering tools using Eaton-approved AI platforms.
Collaborate with Engineering Digital and IT teams to implement, pilot, iterate, and support AI tools focusing on adoption and compliance with security, identity, logging, and audit standards.
Bachelor's degree in computer science, engineering, or related field required; master's in AI, Machine Learning, or Data Science preferred.
4-7 years of experience in software development, automation, or digital solution engineering.
Proficiency in Python, APIs, cloud-based services, and preferred experience with Azure environment.
Work Experience Required: 4-7 years; Notice period: Not explicitly mentioned in the JD.
Demonstrated hands-on ability to build and deploy functional AI engineering solutions, not just prototypes.
Experience or familiarity with engineering or manufacturing environments, including understanding of NPI, project management, quality, or documentation workflows.
Comfortable collaborating cross-functionally with process owners, engineering users, and IT to translate process needs into technical requirements and ensure solution adoption.