Site AI Partner

Job Description Summary

Job Description

Job profile & scope:

• Strategic Opportunity Identification: Collaborate closely with the different functions, lean teams and stakeholders to proactively identify and evaluate high-impact opportunities for AI/ML applications at site level.
• Stakeholder Partnership: Act as a key AI partner to cross-functional project teams, guiding them through the potentials and limitations of AI/ML to effectively address specific business challenges. Translate business challenges into clear problem statements, measurable success criteria, and value hypothesis.
• AMP 2.0 Ambassador (internal AI tool): Key partner for the site to leverage the AMP 2.0 possibilities. Coach the different teams in AMP 2.0 and guide them through the different functionalities to develop own use-cases in AMP.
• Feasibility studies and proof-of-concept deployment: Drive the proof-of concept (POC) development for high-impact opportunities at site level and in close cooperation with the PT Central AI team, to quickly run feasibility tests or adapt existing use-cases for the site business needs.
• Scaling: Partner with the PT central AI team and other stakeholders to scaleAI POC to production scale deployments and activate the business impact of the AI solution at site level.

• Domain Knowledge: Good understanding of our products & processes
• Collaborative Team Player: Ability to work effectively and collaboratively within diverse, cross-functional teams at site and PT level
• Communication & Presentation: Good communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and prepare clear, concise documentation
• Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving technical challenges
• Project Leadership: Good understanding of project management principles, including agile methodologies, to drive projects from concept to completion

• Hands-on experience applying AI/ML to operations (e.g., data analysis, time-series forecasting and anomaly detection, computer vision for quality/inspection, optimization, and basic NLP/LLM use cases).
• Proficiency with Python and data analysis methodologies; practical experience with data collection, feature engineering, model evaluation, and experimental POC design.
• proven experience in AI deployment in industrial environment
• Project Management
• Master's degree in Engineering, Business Administration, Computer Science or related fields; or equivalent experience.
• Fluent English and native Italian.