Vision Systems Expert Assistant Manager

**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

Qualifications :

**Required Qualifications:**

• Bachelors degree (B.E / ) 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

Additional Information :

4 to 6 years in vision systems in manufacturing industry is desirable.

Remote Work :

No

Employment Type :

Full-time