Are you passionate about cutting-edge technologies and looking to gain hands-on experience in machine vision and industrial automation? At Volcan Vision and Automation , we are seeking a talented App Developer Intern to help create a desktop application for machine vision systems. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Integrate image acquisition from machine vision cameras into the application. Implement Python-based deep learning models for real-time image inspection. Establish Ethernet communication between the application and Delta PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd/Final Year Student Programming Languages : Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development : Familiarity with frameworks like PyQt, Tkinter, or .NET for building graphical user interfaces (GUIs). Machine Vision : Understanding of image processing concepts and working with industrial cameras. Deep Learning : Experience in integrating and deploying trained models for image inspection. Networking : Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation : Basic understanding of PLCs and industrial communication standards. Preferred Qualifications: Prior experience with developing desktop apps. Knowledge of Computer Vision Algorithms Knowledge of Network Engineering Perks and Benefits: Completion Certification : Recognizing your contribution to our innovative projects. Bonuses : Performance-based financial incentives. Learning Opportunities : Gain hands-on experience in machine vision, automation, and AI. Networking : Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 5-6 months , with the possibility of extending or converting into a full-time opportunity based on performance. Please attach some examples of the desktop applications you have successfully completed as part of your application. Showcasing your previous work will help us evaluate your skills and suitability for the role. Location: On-site/Remote/Hybrid (specifics based on mutual agreement). Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply now and be part of our innovative journey! Show more Show less

-------------- UNPAID INTERNSHIP -------------- Are you passionate about cutting-edge technologies and looking to gain hands-on experience in machine vision and industrial automation? At Volcan Vision and Automation, we are seeking a talented App Developer Intern to help create a desktop application for machine vision systems. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Integrate image acquisition from machine vision cameras into the application. Implement Python-based deep learning models for real-time image inspection. Establish Ethernet communication between the application and Delta PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd Year Student Programming Languages: Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development: Familiarity with frameworks like PyQt Deep Learning: Experience in integrating and deploying trained models for image inspection. Prior experience with developing desktop apps. Preferred Qualifications: Networking: Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation: Basic understanding of PLCs and industrial communication standards. Understanding of image processing concepts. Knowledge of Computer Vision Algorithms Understanding of AI concepts, including deep learning and CNNs Knowledge of Network Engineering Perks and Benefits: Completion Certification: Recognizing your contribution to our innovative projects. Bonuses: Performance-based financial incentives. Learning Opportunities: Gain hands-on experience in machine vision, automation, and AI. Networking: Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 3-6 months (Flexible), with the possibility of extending or converting into a full-time opportunity based on performance. Location: Remote Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply now and be part of our innovative journey! 3 Opportunities: AI-ML Intern Desktop App Dev Intern Network Engineer Intern Note: This is an Unpaid internship, intended to provide valuable real-world experience in a specialized industrial domain. Outstanding performers may be offered bonuses or a paid opportunity in the future. Show more Show less

------------------- UNPAID INTERNSHIP ------------------- Are you passionate about industrial networking, automation systems, and software integration? Volcan Vision and Automation Pvt. Ltd. is looking for a Networking & Integration Intern to support the development of cutting-edge machine vision applications deployed across industrial environments. This internship offers a unique opportunity to work alongside a multidisciplinary team and contribute to real-world systems involving vision inspection , PLC communication , and secure software deployment . Department: Software Development Duration: 2-6 months Key Responsibilities: Implement and manage communication protocols such as Modbus TCP/IP , Ethernet/IP , and custom network interfaces. Integrate the application with PLCs , industrial cameras , and external devices for data exchange. Assist in developing and debugging the core desktop application used for machine vision inspection. Implement cybersecurity features such as token/key-based licensing , data encryption , and user authentication . Contribute to application packaging and deployment for industrial use cases. Support desktop application development by contributing to computer vision tool integration, user interface enhancements, and feature expansion. Required Skills: Currently in your 3rd/Final Year of your studies ( Graduating in 2026 or 2027 ) Strong understanding of networking fundamentals and industrial communication protocols . Proficiency in Python with experience in socket programming or networking libraries. Familiarity with desktop application frameworks such as PyQt or Tkinter . Knowledge of cybersecurity best practices for desktop software. Experience with Git and version control workflows. Preferred Qualifications: Exposure to PLCs or similar industrial hardware. Familiarity with machine vision tools like OpenCV. Understanding of licensing mechanisms , packaging tools, and deployment strategies. Experience working with REST APIs , Supabase , or secure data communication tools . What We Offer: Internship certificate and recommendation upon successful completion. Performance-based bonuses and learning stipends. Opportunity to work on live industrial automation projects. Exposure to AI , vision systems , cybersecurity , and automation standards . Potential full-time opportunity based on performance. Internship Duration 2-6 months Show more Show less

--------- UNPAID INTERNSHIP --------- Are you passionate about cutting-edge technologies and eager to gain hands-on experience in machine vision, desktop application development, and industrial automation? At Volcan Vision and Automation, we are looking for a skilled and driven PyQt5 Desktop App - Software Developer Intern to help us build robust, high-performance desktop applications for our next-generation machine vision systems. You’ll work with real-world hardware, deep learning models, and sophisticated networking protocols in a dynamic and fast-paced environment. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Design and implement computer vision modules for seamless integration within the desktop application Integrate image acquisition from machine vision cameras into the application. Establish Ethernet communication between the application and PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd/Final Year Student Programming Languages: Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development: Familiarity with PyQt frameworks for building graphical user interfaces (GUIs). Machine Vision: Understanding of image processing concepts and working with industrial cameras. Networking: Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation: Basic understanding of PLCs and industrial communication standards. Preferred Qualifications: Prior experience with developing desktop apps. Knowledge of Computer Vision Algorithms Knowledge of Network Engineering Perks and Benefits: Completion Certification: Recognizing your contribution to our innovative projects. Bonuses: Performance-based financial incentives. Networking: Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 2-6 months, with the possibility of extending or converting into a full-time opportunity based on performance. Location: On-site/Remote/Hybrid (specifics based on mutual agreement). Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply Show more Show less