ARTIFICIAL INTELLIGENCE INTERN

About the program EduRankAI invites applications for the position of Artificial Intelligence Intern to join its Artificial Intelligence Research and Engineering team. This fulltime internship is designed for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models LLMs, Natural Language Processing NLP, Computer Vision, Data Science, and intelligent software systems. As an Artificial Intelligence Intern, you will contribute to the development of nextgeneration AI technologies that power EduRankAI's tutoring, assessment, research, and digital innovation ecosystem while gaining practical exposure to productiongrade AI development under the mentorship of experienced AI engineers and researchers. As an Artificial Intelligence Intern, you will work on realworld AI projects involving data preparation, model development, experimentation, evaluation, optimization, and deployment support. Your responsibilities will include preparing and preprocessing datasets, assisting in building, training, finetuning, and evaluating machine learning and deep learning models, conducting AI experiments, monitoring model performance, tracking experiments using standard machine learning tools, analysing results, supporting literature reviews of emerging AI techniques, documenting model architectures and experimental findings, contributing to AI evaluation frameworks, assisting in integrating trained models into production pipelines, supporting prompt engineering and model testing, maintaining training datasets, collaborating with software engineers and AI researchers, and contributing to internal research initiatives focused on improving the accuracy, reliability, efficiency, and scalability of AI systems. Applicants should possess a strong foundation in Python programming, data structures, algorithms, statistics, linear algebra, probability, and machine learning fundamentals. Familiarity with PyTorch, TensorFlow, NumPy, Pandas, Scikitlearn, Jupyter Notebooks, Git, experiment tracking platforms such as Weights Biases WB or MLflow, SQL, REST APIs, or cloudbased AI development environments will be considered an advantage but is not mandatory. Knowledge of Deep Learning, Natural Language Processing NLP, Computer Vision, Reinforcement Learning, Large Language Models LLMs, RetrievalAugmented Generation RAG, prompt engineering, model finetuning, AI evaluation, or MLOps concepts will also be beneficial. Candidates with academic research, opensource contributions, hackathons, AI competitions, or personal machine learning projects are strongly encouraged to apply. Throughout the internship, participants will receive structured mentorship, continuous technical guidance, code reviews, engineering best practices, and exposure to modern AI development workflows. Interns will gain practical experience in machine learning pipelines, model training, experimentation, AI evaluation, production AI integration, technical documentation, collaborative software development, research methodologies, and responsible AI practices while contributing directly to live AI products and research initiatives. We are looking for individuals with strong analytical ability, logical thinking, curiosity, creativity, problemsolving skills, mathematical aptitude, attention to detail, research orientation, communication skills, adaptability, ownership, collaboration, and a continuous learning mindset. The internship is primarily conducted onsite at the EduRankAI campus with structured mentorship and handson engineering collaboration. 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, practical Artificial Intelligence 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 Machine Learning Engineers Hands-on experience with live Artificial Intelligence projects Exposure to production AI systems, model development, and deployment workflows Opportunity to contribute to research-driven AI products and innovations Professional AI portfolio development Cross-functional collaboration with AI research, engineering, and product teams Performance-based Pre-Placement Interview opportunity Exposure to Generative AI, Large Language Models, MLOps, and responsible AI practices 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 six 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 Artificial Intelligence projects while maintaining professionalism, confidentiality, documentation standards, software engineering best practices, responsible AI principles, and project timelines. Participants will collaborate with multidisciplinary teams, conduct AI experiments, assist in model development and evaluation, prepare technical documentation, participate in code reviews and technical discussions, 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