Site AI Partner

Job Description Summary

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.

Job Description

Main Responsibilities

• 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: 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

• Computer Science, Information Systems, Computer engineering, Industrial Engineering.
• Proven experience, leading or executing hand-on activities of projects by applying AI/ML, experimental proof-of-concept development or other GenAI fields.
• Advanced English;
• Advanced Portuguese;
• 100% on site work.
• Availability to travel (Around 10% of the time/ year).

• Lean manufacturing philosophy knowledge and ability of kaizen execution in transitional or manufacture environment is a differential.
• Manufacturing operational process and/or shop floor management experience are very welcome.
• Good communications skills;