**Key Responsibilities:**
Design, develop, and implement advanced vision systems across the manufacturing value stream to ensure consistent product quality and defect detection
Develop and deploy AI-based vision systems with smart automation capabilities on assembly lines to enhance production efficiency and accuracy
Conduct feasibility studies and technical assessments for vision system requirements based on product specifications, dimensional tolerances, and defect identification criteria
Develop and optimise hardware and software solutions tailored to specific product requirements, including dimensional analysis, attribute verification, and defect classification
Integrate vision systems with existing manufacturing equipment and control systems, including PLC (Programmable Logic Controller) interfaces and industrial automation platforms
Perform system testing, validation, and troubleshooting to ensure vision systems meet performance standards and production requirements
Collaborate with cross-functional teams including production, quality assurance, engineering, and maintenance to ensure seamless implementation and ongoing system optimisation
Provide technical support and training to plant personnel on vision system operation, maintenance, and troubleshooting procedures
Document system specifications, configurations, and standard operating procedures for knowledge transfer and compliance purposes
Monitor system performance metrics and recommend continuous improvements to enhance detection accuracy and reduce false positives
**Required Qualifications:**
Bachelor's degree (B.E / B.Tech) in Electronics, Instrumentation, Mechatronics, or related engineering discipline
Proficient in image processing and object identification systems, preferably within the automotive manufacturing industry
Competent knowledge of Programmable Logic Controllers (PLC) and industrial automation platforms
Demonstrated expertise in developing hardware and software solutions based on product specifications, dimensional analysis, and defect classification requirements
Strong experience with AI and machine learning frameworks for vision-based automation and smart manufacturing applications
Competent collaboration and communication skills across multiple functions including production, quality assurance, engineering, and maintenance teams
**Preferred Qualifications:**
Postgraduate qualification or specialisation in Data Science, Data Engineering
4 to 6 years in vision systems in manufacturing industry is desirable.
