AI/ML Integration Technologist (Battery Mfg)
Core
Deploy AI and analytics models on the production line to improve yield, quality, and throughput in battery manufacturing.
Role type
Manufacturing technologist (AI/ML integration)
Builds
Production ML models for defect detection, yield root cause, and process optimization
Domain
Automotive manufacturing / Battery energy storage systems
Deliverable
production ML models
Required skills
Python, MES integration, PLC/OT data handling, statistical analysis, root cause analysis, process engineering
Preferred skills
Battery manufacturing experience, semiconductor/coatings process experience, mechanical/industrial/electrical engineering background
Technologies
Python, MES, PI, Ignition, PLC, inline metrology
Responsibilities
Identify production losses (scrap, downtime, quality escapes) and apply AI/analytics solutions; Build and deploy models for coating/formation quality and defect detection; Translate model outputs into parameter changes and standard work; Connect local data sources (MES, historians, PLC) to central systems; Feed reusable assets back to central technology teams
