AI-Powered Testing Support: Leverage AI-powered testing tools (e.g., test case generation, visual regression detection, anomaly detection) to increase test coverage and reduce manual effort.
QA for AI Modules: Collaborate with AI/data teams to validate AI outputs (e.g., recommendation engines, predictive analytics, LLM features) by designing test cases for accuracy, bias detection, edge cases, and failure modes.
BI Dashboard Validation: Verify data accuracy and consistency in Power BI dashboards by comparing against source data, backend queries, and expected business logic.
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We are looking for a highly experienced Senior Control Engineer with strong expertise in Building Management Systems (BMS), Energy Management Systems (EMS), HVAC controls, automation and smart building technologies. The successful candidate will be responsible for the design, engineering, programming, commissioning and technical management of control systems for commercial buildings, industrial facilities, data centres and other complex projects. The role requires strong hands-on technical knowledge, project experience and the ability to lead control engineering activities from design through commissioning and handover.
Design and develop control strategies for BMS, EMS and HVAC systems.
Prepare control philosophies, sequences of operation, points lists, I/O schedules and control schematics.
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Architect Scalable Networks: Lead the end-to-end design and deployment of "first-time-right" network solutions, specifically focusing on Spine-Leaf topologies and L2/L3 fabrics
Drive Technical Leadership: Act as a Solution Architect for large initiatives, managing resource estimation, dependencies, and risk mitigation across technical teams
Implement Network as Code: Modernize operations by developing and maintaining Arista AVD, Ansible, and CI/CD pipelines to ensure scalable, repeatable deployments
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Car basic maintenance programme, fault tracing of engine management system problems, engine tuning & adjustment, general repair and overhaul of engine.
Fault tracing of auto-transmission & manual-transmission problems, general repair of transmission, clutch assy, pumps, etc.
Fault tracing of electrical problems and replacing / repairing of basis electrical components.
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AI-Powered Testing Support: Leverage AI-powered testing tools (e.g., test case generation, visual regression detection, anomaly detection) to increase test coverage and reduce manual effort.
QA for AI Modules: Collaborate with AI/data teams to validate AI outputs (e.g., recommendation engines, predictive analytics, LLM features) by designing test cases for accuracy, bias detection, edge cases, and failure modes.
BI Dashboard Validation: Verify data accuracy and consistency in Power BI dashboards by comparing against source data, backend queries, and expected business logic.
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deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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