Quality Assurance Engineer

Company Description TAK Automation, accredited with ISO 9001–2015, is based in Coimbatore, India and specializes in precision machined products made from ferrous and nonferrous metals, as well as aluminum. The company is led by highly qualified professionals with extensive experience in the fields of aluminum and steel foundry, CNC machining, casting, forging, welding, heat treatment, special processes, and R&D. TAK Automation is dedicated to delivering high-quality products and excelling in customer service. Role Description This is a full-time, on-site role for a Manufacturing Quality Engineer located in Coimbatore. The Manufacturing Quality Engineer will be responsible for ensuring quality control throughout the manufacturing process, conducting quality audits, and implementing quality management systems. The role includes tasks such as quality assurance, quality engineering, and maintaining compliance with industry standards. Qualifications 5 years Min. Experience in Quality Control and Quality Assurance Skills in Quality Engineering and Quality Management Proficiency in Quality Auditing procedures Strong problem-solving and analytical skills Excellent written and verbal communication skills Ability to work independently and collaboratively Experience in the manufacturing industry is a plus Bachelor's degree in Engineering or related field Key Roles and Responsibilities 1. Quality System Development and Maintenance The quality engineer is responsible for developing, implementing, and maintaining the Quality Management System (QMS). This includes establishing and documenting procedures, work instructions, and standards that align with industry certifications like ISO 9001 or IATF 16949. They ensure the machine shop is in compliance with all relevant regulations and customer requirements. 2. Quality Planning and Process Control They play a central role in the planning phase of production. This includes: Interpreting engineering drawings and GD&T (Geometric Dimensioning and Tolerancing): Translating design specifications into actionable quality control plans. Developing inspection plans: Creating detailed plans for what to inspect, when to inspect it, and which tools to use at each stage (e.G., raw material, in-process, and final inspection). Implementing Statistical Process Control (SPC): Using statistical methods and control charts to monitor key process variables (like cutting speed and feed rate) to ensure the process remains stable and consistent. Conducting First Article Inspection (FAI): Performing a thorough inspection of the first part produced in a new production run to ensure it meets all specifications before mass production begins. 3. Root Cause Analysis and Corrective Actions When a defect or non-conformance occurs, the quality engineer leads the investigation. They: Conduct root cause analysis: Use problem-solving methodologies (like the 5 Whys or Fishbone diagrams) to identify the underlying cause of the issue. Implement Corrective and Preventive Actions (CAPA): Develop and implement solutions to fix the current problem and prevent it from recurring in the future. Manage non-conforming materials: Ensure that defective parts are properly quarantined, dispositioned, and accounted for to prevent them from reaching the customer. 4. Inspection and Metrology A core responsibility involves the hands-on inspection of parts. This requires a deep understanding of metrology and proficiency with various measurement tools: Manual tools: Using calipers, micrometers, and bore gauges for basic measurements. Advanced equipment: Operating and programming sophisticated machinery like a CMM (Coordinate Measuring Machine) to measure complex geometries and tight tolerances. Surface finish analysis: Using profilometers to ensure the surface roughness of parts meets specifications. 5. Continuous Improvement The quality engineer is a champion of continuous improvement. They analyze quality data, identify trends, and lead initiatives to enhance product quality and process efficiency. This can involve: Data analysis: Using software to analyze quality metrics, such as scrap rates, first-pass yield, and customer complaints. Leading improvement projects: Heading projects focused on reducing defects, improving process capability, and optimizing production workflows. Training: Training machine operators and other staff on new quality procedures, standards, and the proper use of inspection equipment.