SENIOR ENGINEER

Quality System Implementation

• Formulate and implement ISO 9001 and IATF 16949 Quality Systems in the Manufacturing Engineering Department.
• Manage documentation, conduct audits, and implement corrective and preventive actions.
• Develop and implement quality assurance protocols for manufacturing.
• Ensure compliance with industry standards and regulatory requirements.
• Address and resolve manufacturing-related quality issues.

Process Development & Improvement

• Develop and validate new processes while conducting periodic validations for existing ones.
• Implement process improvements to enhance productivity, reduce costs, and improve quality.
• Perform layout design, time and work studies, line balancing, and capacity planning.
• Oversee the design, implementation, and validation of manufacturing processes for BESS components and systems.
• Ensure processes meet quality, cost, and efficiency targets.

Design & Development

• Design tools, jigs, and fixtures.
• Lead new machine development, low-cost automation, and digitization.
• Prepare Bills of Materials (BOM), drawings, and specifications.
• Prepare and update PFMEA, control charts, procedures, and work instructions.
• Collect and analyse data on process issues reported by the production team.

Production Support & Equipment Management

• Assist the production team with troubleshooting and resolve technical challenges.
• Finalize specifications, select equipment, and prepare CAPEX proposals for procurement.
• Ensure proper maintenance and smooth operation of all manufacturing equipment.
• Manage multiple manufacturing projects, ensuring timelines and budgets are met.
• Collaborate with cross-functional teams, including R&D, quality, supply chain, and production.
• Evaluate and integrate new technologies and equipment into the production line.

Quality & Customer Focus

• Develop and implement quality systems to support the production team.
• Deliver superior customer service and ensure compliance with quality standards.
• Lead initiatives to optimize manufacturing processes, reduce costs, and improve product reliability.
• Analyse manufacturing data to identify areas for improvement.

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