Machinery & PLC Troubleshooting: Conduct hands-on repairs and inspect hydraulic and electrical systems for production machinery (Press and Injection machines). Diagnose and resolve PLC issues, particularly for OMRON, MITSUBISHI, and SHIN LIN systems.
Utility Equipment Care: Perform routine servicing, cleaning, and preventive actions on critical factory utilities, including the 100HP main compressor, 50HP standby compressor, 22kW air dryer, and systems within the Shotblast and Packaging/Store departments.
Operations & Inventory Support: Report directly to the Supervisor. Help build and improve maintenance procedures, manage spare parts inventory, and update daily activities in the maintenance logbook.
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Organized, detail-oriented, and able to manage multiple tasks, timelines, and follow-ups in a structured manner.
Collaborative mindset with the ability to work effectively in a team, take direction, and seek feedback for continuous improvement.
Diploma or Bachelor’s degree (or final-year student) in Information Technology, Computer Science, Engineering, Security Management, Business, or a related field.
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Integrate mobile applications with backend services via secure RESTful APIs and modern data synchronization protocols.
Implement rigorous security measures, including data encryption, secure token management, and compliance with enterprise and financial data handling standards.
Work closely with data and platform engineers to support AI-driven features and real-time notifications within the mobile ecosystem.
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Job Summary We are looking for a highly technical Business Analyst with a strong background in AI/Machine Learning integrations and enterprise system architecture. In this role, you will bridge the gap between complex business requirements and cutting-edge technical execution. You will play a critical role in analyzing data workflows, designing system integrations, and collaborating with our engineering team to deliver scalable, AI-driven digital solutions that transform customer engagement, automate digital operations, and optimize financial processes.
Key Responsibilities 1. Requirements Engineering: Collaborate with stakeholders across product, operations, and engineering to gather business requirements and translate them into deeply detailed technical specifications, APIs schemas, data models, and functional workflows. 2. AI & Automation Integration: Identify opportunities to embed AI/ML models, predictive analytics, and intelligent automation into existing core workflows to drive operational efficiency and advanced customer insights. 3. System & Data Analysis: Perform deep-dive data and system analysis. Map end-to-end data pipelines, system dependencies, and integration touchpoints between internal platforms and external financial/enterprise systems. 4. Technical Documentation: Document and maintain comprehensive functional/nonfunctional requirements, technical process flows, sequence diagrams, use cases, and technical user stories. 5. Engineering & Architecture Liaison: Work hand-in-hand with software engineers, data engineers, and AI specialists to ensure solution designs are technically feasible, scalable, and secure. 6. Agile Delivery Support: Actively participate in sprint planning, backlog grooming, and technical validation, ensuring clear alignment on acceptance criteria. 7. Testing & Validation: Define technical parameters for User Acceptance Testing (UAT), lead complex bug triaging, and validate that delivered system behaviors exactly match defined technical specs. 8. Stakeholder Communication: Serve as the technical translator, effectively communicating complex architectural, data, and AI concepts to non-technical business units and vice versa.
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Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).
Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).
Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).
Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).
Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).
Classes will be conducted in between Monday - Friday 12pm - 6pm or 7pm-10pm, Saturday - Sunday 9am-6pm (not fully hours). You may choose any class in between the time with suit your available slot.
Each class once a week and 1 hour per lesson (not a lengthy lesson).