QA / QC Engineer

Uniconsys Pvt Ltd is looking for QA / QC Engineer to join our dynamic team and embark on a rewarding career journey.A QA/QC Engineer is responsible for ensuring that products, projects, and processes meet established quality standards and specifications. This role involves monitoring and evaluating the production or construction processes to identify and address issues that could affect product quality. Additionally, the QA/QC Engineer plays a crucial role in creating and implementing quality control procedures and documentation. Key Responsibilities: Quality Assurance: Develop and implement quality assurance policies, procedures, and standards. Ensure that products or projects meet or exceed customer and regulatory requirements. Conduct audits and inspections to identify areas for improvement in quality processes. Quality Control: Establish and maintain quality control procedures to monitor and measure product or project performance. Inspect materials, components, and finished products to verify their compliance with quality standards. Implement testing protocols and document test results. Documentation: Maintain comprehensive records of quality control activities, including test results, inspection reports, and corrective actions taken. Prepare quality documentation and reports for internal and external stakeholders. Process Improvement: Collaborate with other departments to identify and resolve quality-related issues. Continuously assess and improve quality control processes to enhance overall efficiency and product quality. Training and Compliance: Train personnel on quality control procedures and standards. Ensure compliance with relevant industry standards, regulations, and certifications. Problem Solving: Investigate and address non-conformities, defects, and quality-related incidents. Identify the root causes of quality issues and recommend corrective and preventive actions. Risk Assessment: Evaluate potential risks and hazards that could impact quality and safety. Develop risk assessment strategies and mitigation plans. Data Analysis: Utilize statistical analysis and data-driven techniques to monitor and improve quality control processes.