Responsible for the preparation of design, calculations, drawings, specifications, and tender documents involved in the full cycle of Solar PV system design for system size MORE THAN 72kW using Autocad, PVSyst, and Helioscope software for Industrial, Commercial and Residential sector (Costing budget, BOQ, Material Spec, SOW method statement, etc)
Design, develop, and implement Retrieval-Augmented Generation (RAG) systems to enhance the capabilities of conversational AI models, ensuring accurate and contextually relevant responses.
Technical Service & Support• Perform on-site installation, commissioning, troubleshooting, and repair for solar PV systems and energy storage solutions• Conduct preventive, corrective, and emergency maintenance to ensure optimal system performance• Provide remote technical support to customers and partners via phone, email, and online platforms• Diagnose and resolve technical issues related to PV inverters, hybrid inverters, ESS, and balance-of-system componentsCustomer Training & Technical Empowerment• Design and deliver technical training on inverter installation, operation, and maintenance for distributors, installers, and end-users• Develop and maintain training materials, including manuals, presentations, video guides, and FAQs• Continuously update training content to reflect new product enhancements and industry best practicesQuality & Process Improvement• Investigate technical failures and recurring faults; conduct root cause analysis (RCA) and prepare detailed technical reports for internal management and customers• Collect, analyze, and provide structured feedback on customer issues and product performance to R&D and product teams for continuous improvement• Manage service case records and spare parts inventory, ensuring proper documentation and traceability
Design, develop, and implement Retrieval-Augmented Generation (RAG) systems to enhance the capabilities of conversational AI models, ensuring accurate and contextually relevant responses.
Design, develop, and implement Retrieval-Augmented Generation (RAG) systems to enhance the capabilities of conversational AI models, ensuring accurate and contextually relevant responses.
Design, develop, and implement Retrieval-Augmented Generation (RAG) systems to enhance the capabilities of conversational AI models, ensuring accurate and contextually relevant responses.