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)
Role We are looking for full-time AI R&D Engineers with expertise in Deep Learning (DL) or Machine Learning (ML), or entry-level graduates with strong project experience, to join our team. In this role, you will be integral to designing, innovating, and building cutting-edge AI products in the areas of Image and Video Analytics. You will collaborate with the product development team and the Chief Engineer throughout the Product Development Life Cycle. This hands-on role requires attention to detail, independent work capability, and strong problem-solving skills. Additionally, you will work with a small team of engineers to deliver AI-driven solutions to customers. Responsibilities Design, develop, and implement AI solutions for visual inspection and quality control. Break down complex problems, create solutions, and integrate them with existing systems. Lead and manage sub-projects, ensuring delivery on time and within scope. Apply advanced AI techniques (e.g., Active Learning, GANs) to enhance model performance. Collaborate with cross-functional teams to deploy scalable AI models and optimize product quality. Drive continuous improvement in AI algorithms, evaluation methods, and model optimization. Work effectively as a team player while also being able to operate independently. Lead sub-projects and provide technical insights on a daily basis. Communicate clearly with team members, leadership, and all stakeholders. Professional Experience Hands-on experience in image/video processing and data analysis using ML/DL techniques. Proficient in ML/DL frameworks (e.g., Python, TensorFlow, PyTorch, Keras, C++). Experience in implementing state-of-the-art AI techniques, such as Active Learning and GANs. Excellent communication skills, both oral and written. Preferred Experience in computer vision and edge AI. Published research papers or industry-level AI projects. Familiarity with AWS Sagemaker. B.Tech, M.Tech, or Ph.D. in Computer Science, Electrical Engineering, or a related field. Show more Show less
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 are 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. We are seeking a highly skilled and passionate Research and Development Engineer to join our team. The ideal candidate will drive innovation in the fields of AI, image processing, and computer vision by designing, implementing, and evaluating cutting-edge algorithms and models. You will collaborate with a dynamic team to get exposure to computer vision and translate research ideas into real-world applications. Key Responsibilities: - Design, implement, and evaluate image processing algorithms and computer vision models. - Dive deep into the fundamentals of ML, including architectures, loss functions, data evaluation, and model implementation efficiency during both training and deployment. - Report and present research findings and developments, including progress, results, and insights, in a clear and efficient manner to both internal and external stakeholders. - Suggest and participate in team collaborations to achieve ambitious research objectives. - Stay updated with the latest research by reading academic papers and articles and implementing relevant techniques. Team Level Requirements: - Ability to collaborate effectively in a cross-functional team environment. - Strong communication skills to articulate research findings and technical concepts clearly. - A proactive approach to identifying challenges and proposing innovative solutions. - Commitment to continuous learning and staying at the forefront of the AI and machine learning landscape. Key Skill Set: - Proven track record of publications and relevant experience in areas such as foundational models, ML+ Systems, optimization, learning theory, computer vision, and image processing. - Demonstrated expertise with ML frameworks (e.g., PyTorch). - Proven experience in training models and applying experimental ideas to practical problems. - Experience working on projects from proof-of-concept through implementation in an industrial setting. - Strong mathematical aptitude with the ability to grasp and apply complex concepts quickly. - Genuine enthusiasm for AI, image processing, and computer vision. - Publications in top AI conferences/Journals e.g. NIPS, CVPR, ICLR, TPAMI, ICML, etc. is a plus. Qualification Background: - B.Tech/M.Tech in Computer Science or Electrical Engineering from a Tier 1 institute. - Minimum 2+ years of relevant work experience in the field.,