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Site AI Partner

GE Vernova

Vadodara, India

Full Time

Posted October 28, 2026

Power Generation

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Listing evidence and provenance

Source: Workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 28, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Pay not available

Job Description

GE Vernova equips 90 percent of the world's energy utilities, helping them generate and distribute electricity.

Key Responsibilities

Strategic Opportunity Identification : Identify AI/ML use cases with high impact potential, translate business needs into clear problem statements with benefit hypotheses and success criteria, assess feasibility (data, compliance, IT/OT), and maintain a prioritized use case backlog.
End-to-End AI/ML Development (PoCs/MVPs) : Explore and prepare data, create features, implement PoCs according to predefined standards/playbooks, and document reproducibly.
Solution Deployment & Integration : Scale successful PoCs (Proof-of-concept) at the site level; coordinate integration with enterprise systems (e.g., SAP, MES, PLM/Windchill) in consultation with DT Central.
Stakeholder Partnership : Serve as the interface between operational departments and Digital/IT; align requirements, prepare and conduct gate reviews; ensure seamless collaboration with central and local stakeholders.
Technical Excellence & Best Practices : Technical documentation, model reports, and knowledge sharing; adherence to quality, information security, and data protection guidelines.
AMP 2.0 (Internal AI platform) Site Partner : Empowering teams to use AMP 2.0 (features, templates, best practices), conducting training sessions/workshops and office hours, and providing user-oriented guidance.
Continuous Learning : Monitoring relevant developments in AI/ML and GenAI and pragmatically integrating suitable approaches into projects.
Lean/Kaizen : Facilitating and providing technical support for Kaizen workshops; utilizing AI-supported analyses for potential improvement; tracking the implementation and effectiveness of measures.

Requirements

Completed Bachelor's/master’s degree in computer science, Electrical Engineering, Mechanical Engineering, Data Science, Artificial Intelligence, or a related field.
At least 3 years of experience in the industrial application of AI/ML (PoCs, initial deployments) and in collaboration with business units and IT/OT.
Skill set in Python, Deep learning & generative AI.
Data & Integration: SQL, working with structured/unstructured data, APIs/ETL, data quality checks; integration with enterprise systems (e.g., SAP, MES, PLM/Windchill); visualization (Power BI/Tableau).
Lean/Kaizen expertise, including facilitating workshops/events.
Languages: Fluent in English.