Job Description Summary

Job Description

Job Description

As a Site AI Partner (AI/ML Engineer) you will identify and evaluate site-specific opportunities for artificial intelligence and machine learning implement proofs of concept (PoCs) and successfully deploy solutions into operations with clear measurable business impact. You will work closely with the PT Central AI Team and the DT Central Team (Digital IT/OT) ensure integration into existing systems (e.g. ERP/MES/PLM) and empower teams as Site AI Partners. This role requires close collaboration with various functions and stakeholders to drive strategic initiatives and ensure the successful integration and scaling of AI solutions.

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 Bachelors/masters 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.
• 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.

Soft Skills & Characteristics:

• Excellent collaboration in cross-functional teams and with external partners.
• Clear audience-appropriate communication; ability to present technical content in an understandable way.
• Analytical strength and pragmatic problem-solving skills.
• Basic knowledge of project management including agile methodologies.

Additional Information