Establish equipment communication standards for new equipment installations.
Integrate equipment with MES, HMI, PLC, SCADA, and other manufacturing systems.
Design and maintain equipment connectivity architecture across production lines.
Manufacturing Data Infrastructure
Build automated data collection pipelines to replace manual reporting processes.
Develop scalable data architecture for manufacturing analytics.
Ensure high-quality, reliable equipment operational data for business reporting.
Support data governance, standardization, and system integration.
Manufacturing Analytics & AI
Develop equipment monitoring and performance analytics.
Generate automated manufacturing KPIs including
MTBA (Mean Time Between Assists)
MTBF (Mean Time Between Failures)
MTTR (Mean Time To Repair)
Improve statistical reliability of manufacturing data.
Support variation analysis and statistical process monitoring.
AI & Smart Manufacturing
Deploy AI solutions for equipment monitoring and process optimization.
Support predictive analytics and anomaly detection.
Collaborate with manufacturing engineering teams to improve operational efficiency.
Support MLOps deployment and lifecycle management.
Compliance & Standardization
Establish equipment IT standards for future equipment purchases.
Support equipment calibration and cybersecurity compliance.
Develop operational standards and documentation for manufacturing data systems.
Qualifications
Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Data Engineering, Computer Science, or related discipline.
Experience with manufacturing equipment integration and industrial communication.
Knowledge of PLC, HMI, MES, OPC-UA, Modbus, Ethernet/IP or similar industrial protocols.
Experience in manufacturing data acquisition and equipment connectivity.
Understanding of SQL, Python, or other data processing tools.
Knowledge of manufacturing KPIs and equipment performance analysis.
Preferred Qualifications
Experience in battery, semiconductor, electronics, or automated manufacturing industries.
Experience with Industrial IoT (IIoT).
Knowledge of Edge Computing technologies.
Experience with AI/ML deployment in manufacturing.
Understanding of MLOps.
Experience with cloud-based manufacturing analytics.
Knowledge of statistical analysis and process optimization.
Preferred Skills
Equipment Data Acquisition
Manufacturing Data Analytics
Edge Computing
Industrial Networking
AI Deployment
Manufacturing KPI Development
Data Architecture
Industrial Automation
Smart Factory
Process Optimization
Key Deliverables
Automated equipment data acquisition system implementation
Standardized equipment connectivity architecture
Automated MTBA / MTBF / MTTR reporting
Manufacturing analytics dashboard development
Equipment IT standards for future production lines
AI-enabled equipment monitoring and optimization
