Ability to perform assembly equipment conversion and major troubleshooting to ensure smoothed production line.
This role requires reliable presence to support operational and team objectives. Employees are expected to maintain regular attendance aligned with the company’s work schedule.
Certificate / Diploma in Electrical & Electronic / Mechatronic or equivalent field.
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Participate in incident triage by collecting logs, validating symptoms, documenting troubleshooting steps, and escalating issues with clear technical details.
Maintain accurate network documentation, diagrams, implementation notes, and handover details for assigned tasks.
Work with peers, operations teams, vendors, and other IT functions to complete assigned service requests and project tasks on time and with quality.
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Communicate quality excursions to executive management and core teams.
Lead Stop Ship and Quality Alert Critical processes, driving closure through risk assessment, containment actions, 8D root cause analysis, CAPA, and lessons learned.
Collaborate with NPI counterparts to ensure seamless product transition into Sustaining, meeting all product, customer, and regulatory requirements.
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Inhouse Tester (SHRACKU) Ownership: Lead the development, integration, and maintenance of inhouse test platform (SHRACKU), focusing on Linux-based control, network IP, and EMMC protocol validation to ensure test stability and scalability in HVM.
Technical Expertise and Support: Provide leadership and execute technical support in electrical failure analysis (EFA), exploring new test method/EFA technique to address RMAs, production, reliability, and DPPM improvement. Analyze test results and deliver reports to stakeholders with actionable insights for improvement.
Technical Communication and Documentation: Develop and deliver clear, concise technical reports and documentation, including EFA, work instructions, test equipment guidelines, test reports, and specifications.
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Support and mentor junior technicians in equipment maintenance, troubleshooting, and improvement activities.
Ensure equipment uptime targets are achieved by responding effectively to major machine breakdowns and coordinating recovery actions.
Execute and oversee preventive maintenance programs, equipment upgrades, and continuous improvement initiatives to enhance reliability and productivity.
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Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
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Support all activities related to system change, auto scheduling & dispatching logic and new planning process.
Work closely with order fulfillment, IPPC and planning support team to review process and ideas/recommendations for improvement and optimization using automation.
Leading auto scheduling & dispatching logic design, implementation and defining business flow.
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Collaborate with cross-functional stakeholders including design engineers, device engineers, manufacturing partners, and quality teams to resolve complex technical challenges.
Define and refine product specifications, test algorithms, and stress screening methods based on rigorous data analysis and industry best practices.
Monitor product quality metrics and reliability performance across product lines, driving continuous improvement initiatives and process optimization.
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Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Develop solutions that support real-time data processing, event-driven architectures, and streaming analytics environments.
Participate in the development of AI-enabled applications such as conversational assistants, recommendation systems, anomaly detection, computer vision, or predictive analytics solutions.
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You will collaborate with other Dexcom teams to develop requirements, design criteria, and testing procedures
You will develop new and maintain existing automation applications and virtual machine servers based on Inductive Automation’s Ignition platform.
You will support manufacturing operations by investigating and solving application issues involving process data collection and integration with other systems.
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Perform exploratory data analysis (EDA) across multiple manufacturing data sources to uncover patterns, root causes, and improvement opportunities.
Design, develop, and deploy Advanced Process Control (APC) and Machine Learning models to address manufacturing quality and process challenges.
Collaborate with cross-functional teams including Process Engineering, Equipment Engineering, Quality, IT, and Operations to implement and sustain SPC, FDC, RMS, APC, and ML-based solutions.
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