Process Engineer IT/OT Automation & AI
BorgWarner Inc.
- Support new product launches, process development and manufacturing improvements to achieve safety, quality, cost and productivity targets.
- Design and implement IT/OT integration solutions connecting production equipment, automation systems, MES, ERP and cloud platforms.
- Analyze manufacturing processes and production data to improve OEE, reduce waste and optimize operational performance.
- Develop and support automation, robotics, digitalization and AI-based solutions for process optimization, predictive maintenance and quality improvement.
- Collaborate with Engineering, Production, Quality and Sales teams in defining manufacturing strategies, industrialization plans, investment projects.
- Create and maintain manufacturing documentation, process standards, technical procedures, ensuring compliance with quality and safety requirements.
- Monitor equipment performance and identify opportunities to improve reliability, capacity, efficiency and ergonomics.
- Participate in product feasibility reviews and support continuous improvement initiatives across manufacturing operations.
- Coordinate digital transformation and Industry 5.0 projects, working with internal stakeholders and external technology partners.
- Contribute to cross-functional and international projects, applying structured problem-solving and engineering methodologies.
Education/experience
- Bachelor’s Degree in Engineering (Mechatronics, Automation, Industrial, Manufacturing, Computer Engineering or equivalent).
- 3+ years of experience in Manufacturing/Process Engineering, Industrial Automation or IT/OT integration within a manufacturing environment.
- Knowledge of manufacturing processes, automation systems, PLCs, SCADA/HMI and industrial communication networks.
- Familiarity with process improvement methodologies, OEE analysis, PFMEA and problem-solving tools.
- Basic knowledge of data analytics, industrial databases, and AI/Machine Learning applications is considered a plus.
- Strong analytical, project management and teamwork skills.
- Good command of English.
- Experience in the automotive or other global manufacturing environments is preferred.
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