Quality Engineer(Digital&AI)
Core
Apply AI and data analytics to support manufacturing quality management, operational excellence, and data-driven decision making across production lines.
Role type
Quality Engineer (Digital & AI)
Builds
AI solutions, automation tools, and modernized web-based applications for manufacturing quality workflows.
Domain
Industrial manufacturing / AI & Data Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Programming, Web design, Descriptive analytics, Diagnostic analytics, Process automation
Preferred skills
Predictive analytics, Gen AI, Machine Learning
Technologies
Machine learning, Statistical analysis, Data mining, Web application frameworks
Responsibilities
Visualize current operations and interpret historical data to provide a clear overview of plant and quality performance; Investigate the root causes of quality and process deviations using data mining, correlation analysis, and statistical or machine-learning techniques; Utilize advanced analytics, AI models, and expert knowledge libraries to recommend corrective and preventive actions; Design and implement automation tools and AI solutions to improve efficiency and consistency in quality and manufacturing workflows; Redesign and modernize legacy Windows-based applications into web-based solutions with intuitive user interfaces.
Seniority
Individual Contributor