Selected Intern's Day-to-day Responsibilities Include Build & manage marketing databases (Excel/Google Sheets) Regularly update, verify & clean leads and campaign data Conduct basic market research to support marketing strategies Ensure accuracy & consistency in campaign data Assist in organizing files, simple reporting & admin tasks About Company: Frinks AI is a SaaS platform that enables manufacturers to seamlessly integrate advanced AI for quality control and visual inspection, ensuring unparalleled quality and consistency in manufacturing. With a focus on addressing unique challenges in the sector, we're pioneering research on domain-specific, lean, and efficient AI models that enhance operational efficiency, optimize processes, and drive innovation. Our scalable platform automates production processes with high accuracy, making it a trusted solution for global manufacturers. Show more Show less

Role Overview As an Application Engineer – Machine Vision, you will play a key role in delivering cutting-edge vision solutions to our customers. From feasibility studies to deployment and technical support, you’ll act as the technical backbone of our AI-based inspection systems—bridging customer needs with product capabilities. Key Responsibility • Application Feasibility: Evaluate and recommend technical solutions based on customer requirements. •Product Demonstration: Conduct on-site and virtual trials, demos, and proof-of-concepts. •Technical Troubleshooting: Resolve on-ground issues and provide effective resolutions. •System Integration: Work on seamless integration of vision systems with PLCs, controllers, and factory networks. •Customer Enablement: Train and support customers and internal sales teams on product usage and best practices. •Reporting & Feedback: Submit detailed evaluation reports and share insights with the product and engineering teams. •Project Tracking: Maintain accurate logs and updates using internal systems like sales Book. •Collaboration: Work closely with cross-functional teams to ensure timely and successful project delivery. •Travel: Willingness to travel for short or long duration within India or abroad as needed. 2025 01 Key Requirements Experience: 6–8 years of experience in machine vision applications and industrial automation Education: Bachelor’s degree in electrical, Electronics, Instrumentation, mechanical engineering or Communication Engineering In-depth expertise in machine vision platform Strong knowledge of lighting concepts, lens and camera selection, and system calibration Hands-on experience with PLC integration, industrial communication protocols (Modbus, Ethernet/IP)