COMPUTER VISION INTERN

About the program EduRankAI invites applications for the position of Computer Vision Intern to join its Artificial Intelligence and Computer Vision Engineering team. This fulltime internship is designed for students and recent graduates who are passionate about Computer Vision, Deep Learning, Image Processing, Video Analytics, Machine Learning, Artificial Intelligence, and intelligent visual perception systems. As a Computer Vision Intern, you will contribute to the development of advanced visionbased AI solutions that power EduRankAI's proctoring systems, face verification, document understanding, identity validation, image recognition, and intelligent automation products while gaining handson experience under the mentorship of experienced AI researchers and computer vision engineers. As a Computer Vision Intern, you will work on realworld computer vision projects involving object detection, image classification, facial recognition, optical character recognition OCR, document analysis, video analytics, segmentation, feature extraction, and visual AI model evaluation. Your responsibilities will include implementing and testing computer vision models, preparing and annotating image and video datasets, preprocessing visual data, evaluating model accuracy, precision, recall, latency, and inference performance, optimizing vision models for production environments, conducting experiments, analysing results, supporting dataset management, assisting in integrating computer vision models with backend services and APIs, documenting experimental methodologies, maintaining technical reports, participating in code reviews, collaborating with AI researchers and software engineers, and contributing to the continuous improvement of productionready vision systems. Applicants should possess a strong understanding of Python programming, machine learning fundamentals, image processing concepts, linear algebra, statistics, and deep learning principles. Familiarity with OpenCV, PyTorch, TensorFlow, NumPy, Pandas, Scikitlearn, Jupyter Notebook, Git, OCR technologies, object detection frameworks such as YOLO, Faster RCNN, SSD, or RetinaNet, image segmentation, feature extraction, computer vision pipelines, REST APIs, or cloudbased AI development platforms will be considered an advantage but is not mandatory. Knowledge of Convolutional Neural Networks CNNs, Vision Transformers ViTs, facial recognition, document intelligence, OCR systems, model deployment, MLOps, or edge AI will also be beneficial. Candidates with academic research, hackathons, opensource contributions, or personal projects involving image recognition, video analysis, or computer vision are strongly encouraged to apply. Throughout the internship, participants will receive structured mentorship, continuous technical guidance, engineering best practices, and exposure to modern computer vision development workflows. Interns will gain practical experience in AI model development, computer vision experimentation, image and video processing, model evaluation, production deployment support, technical documentation, collaborative software development, research methodologies, and responsible AI practices while contributing directly to live Artificial Intelligence products and research initiatives. We are looking for individuals with excellent analytical ability, logical thinking, creativity, problemsolving skills, attention to detail, research aptitude, communication skills, adaptability, ownership, collaboration, engineering discipline, and a continuous learning mindset. The internship is primarily conducted onsite at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional, preapproved cases. Applications submitted under EduRankAI's Talent Accessibility Initiative are completely free. This is an unpaid internship intended to provide meaningful industry exposure, structured mentorship, handson Computer Vision experience, professional portfolio development, and opportunities for outstanding performers to be considered for advanced AI research projects, internship extensions, preplacement interviews, research collaborations, or future fulltime opportunities based on performance and organizational requirements. Perks Certificate of Completion Letter of Recommendation for exceptional performers Mentorship from Senior AI Researchers and Computer Vision Engineers Hands-on experience with live Computer Vision and AI projects Exposure to production-grade vision systems, OCR, facial recognition, and document intelligence Opportunity to contribute to real-world AI products and research initiatives Professional AI and Computer Vision portfolio development Cross-functional collaboration with AI research, engineering, and product teams Performance-based Pre-Placement Interview opportunity Exposure to cutting-edge Computer Vision, Deep Learning, and AI deployment workflows Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement This is a full-time internship requiring a commitment of six days per week, for a duration of three months. The internship is primarily conducted on-site at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional cases with prior organizational approval. Interns will contribute to live Computer Vision and Artificial Intelligence projects while maintaining professionalism, confidentiality, documentation standards, engineering best practices, responsible AI principles, and project timelines. Participants will collaborate with multidisciplinary teams, develop and evaluate vision models, prepare technical documentation, participate in technical discussions and code reviews, assist in integrating AI models into production systems, and support continuous improvement initiatives. Successful completion of the internship will be evaluated based on technical competency, analytical ability, model quality, engineering practices, documentation standards, collaboration, innovation, ownership, consistency, professionalism, and overall contribution throughout the internship. Number of openings 10