Stage 2027 - Ingénieur IA & Optimisation des Coûts Qualité (ALL GENDER)
Core
Develop AI tools to map quality activities, analyze costs, and optimize operational efficiency for the A320 central wing box assembly.
Role type
Industrial AI & Quality Cost Optimization Intern
Builds
AI-driven process optimization tools and cost analysis models
Domain
Aerospace manufacturing / Industrial Quality Engineering
Deliverable
production ML models
Required skills
Process mapping (VA/NVA), Industrial cost modeling, Data science, Palantir Foundry, Google Workspace, AI application in industry
Preferred skills
Large-scale data processing, Change management, Technical documentation
Technologies
Palantir Foundry, Google Workspace, Gemini
Responsibilities
Map quality team activities to identify value-added vs non-value-added tasks, Evaluate and analyze costs to identify optimization levers, Design and test AI tools to reduce non-value-added tasks, Structure and analyze production data using internal tools, Support the team in adopting new AI solutions, Ensure maintainability of created solutions
Seniority
Intern, Student
