Digital Twin & AI Engineer — Smart Water Analytics

Bosaq; Belgique; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

BOSAQ in Belgium seeks a data-focused engineer to develop digital twin models, anomaly detection, and performance analytics for smart water treatment systems.

You will collaborate with the Operations Team, Process Engineers, Automation Engineers and Application Developers to ensure solutions are technically robust and operationally relevant. Responsibilities also include dashboards, model validation with plant data, and contributing to BOSAQ's AI roadmap.

Responsabilités

• Develop digital twin models of BOSAQ treatment technologies (UF, NF, RO, …). Model key treatment steps and process components.
• Simulate process behaviour under different operating conditions. Improve understanding of process performance and system limitations.
• Support process optimization through data-driven insights.
• Develop algorithms that detect abnormal operating conditions. Create models capable of identifying process deviations before failures occur.
• Build predictive maintenance capabilities for critical equipment. Continuously improve model performance using operational feedback.
• Structure and standardize process data from installations worldwide. Develop reusable analytics workflows and methodologies.
• Support deployment of analytical models in operational environments. Maintain data quality and validation frameworks.
• Collaborate on industrial data architecture and governance.
• Develop standardized dashboards for service and operations teams. Transform complex process data into actionable visualizations.
• Standardize KPIs across BOSAQ installations. Build fleet-wide performance monitoring tools.
• Improve visibility of asset health and operational performance.
• Work directly with the Operations Team to test and validate models. Investigate operational events and system anomalies.
• Perform root-cause analyses. Validate digital twin accuracy against real-world plant behaviour.
• Translate operational feedback into model improvements. Support commissioning and troubleshooting activities when required.
• Contribute to BOSAQ's AI roadmap. Explore advanced machine learning techniques for water treatment.

Connaissances

Digital Twin

Anomaly Detection

Predictive Analytics

Data Engineering

Dashboard Development

AI/ML techniques

Description du poste

BOSAQ in Belgium seeks a data-focused engineer to develop digital twin models, anomaly detection, and performance analytics for smart water treatment systems.

You will collaborate with the Operations Team, Process Engineers, Automation Engineers and Application Developers to ensure solutions are technically robust and operationally relevant. Responsibilities also include dashboards, model validation with plant data, and contributing to BOSAQ's AI roadmap.