Strong foundation in Structural Engineering and Civil Engineering, with the ability to apply engineering principles to building and infrastructure projects.
Proficiency in Structural Analysis and detailed Calculations for a range of structural systems and materials.
Hands-on experience with Computer-Aided Design (CAD) tools for creating and reviewing engineering drawings and 3D models.
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Leads RMA operations for equipments such as UPS, PDUs and batteries, and ensuring timely processing, proper troubleshooting, coordinated repairs if required, and quality assurance to deliver dependable customer support and system reliability
Manage end-to-end RMA processes, including receiving, logging, tracking, and dispatching returned equipment back to ASP warehouse
Work closely with ASP on managing RMA cases and technical issues
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End-to-End Development: Lead the design and implementation of robust, scalable software applications with Flutter/React and complementary technologies.
AI-Enhanced Features: Integrate AI-driven components—such as smart search, chatbots, product recommendations, and predictive UI elements—into modern retail solutions.
System Integration: Work closely with AI, backend, and DevOps teams to connect applications with APIs, cloud services (especially Azure), and analytics pipelines.
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Provide support to customer sites on a rostered basis, either remotely or at a customer’s premises. (Example onsite roster shifts: 5:00 AM – 1:30 PM; 1:00 PM – 9:30 PM)
Provide on-call standby support outside of normal rostered hours, including public holidays.
Support customer operations by starting, monitoring, and controlling SSI Schaefer software and equipment to ensure optimal performance.
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Programming in Python and SQL to maintain and improve the codebase for existing systems with relevant programming languages, frameworks, and platforms.
Maintain robust, scalable data pipelines (batch and streaming) to ingest, process, and store structured and unstructured data, including the opportunity to work with real-time data.
Monitor, support and optimize ETL/ELT workflows.
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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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End-to-End Development: Lead the design and implementation of robust, scalable software applications with Flutter/React and complementary technologies.
AI-Enhanced Features: Integrate AI-driven components—such as smart search, chatbots, product recommendations, and predictive UI elements—into modern retail solutions.
System Integration: Work closely with AI, backend, and DevOps teams to connect applications with APIs, cloud services (especially Azure), and analytics pipelines.
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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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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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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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Develop, maintain, monitor, and update detailed project schedules using Microsoft Project and Primavera P6 to ensure timely project delivery and accurate progress tracking.
Ensure full compliance with contractual requirements, project execution plans, reporting obligations, and client deliverables throughout the project lifecycle.
Establish and maintain consistent planning standards, scheduling methodologies, and reporting practices across all assigned projects.
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Minimum 1-3 years of experience of purchasing/procurement experience, preferably within the ACMV or Construction sector. (Fresh grads are welcome if willing to learn)
Basic understanding of mechanical and engineering materials
Proficient in Microsoft Office (Excel, Word, Powerpoint)
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Minimum 1-3 years of experience of purchasing/procurement experience, preferably within the ACMV or Construction sector. (Fresh grads are welcome if willing to learn)
Basic understanding of mechanical and engineering materials
Proficient in Microsoft Office (Excel, Word, Powerpoint)
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