The AI Engineer will be responsible for developing, implementing, and maintaining machine learning models and AI solutions to optimize manufacturing processes. This role involves working closely with cross-functional teams to collect data, identify process bottlenecks, and translate operational challenges into data-driven insights that improve productivity, yield, and quality.
- Design, develop, and deploy machine learning models to support predictive maintenance, process optimization, defect detection, and yield improvement.
- Collect, clean, and preprocess large datasets from production lines, sensors, and quality control systems.
- Collaborate with production and equipment engineers to identify use cases for AI implementation.
- Develop algorithms for anomaly detection, process control, and root-cause analysis.
- Implement data visualization dashboards for real-time process monitoring.
- Conduct model performance evaluation and continuous improvement.
- Support integration of AI solutions into manufacturing systems (e.g., MES, PLC, SCADA).
- Stay updated on AI / ML trends and recommend new tools or technologies for factory digitalization.
- Document methodologies and ensure reproducibility of models and results.
(Apply now at #J-18808-Ljbffr