INFORMATION RETRIEVAL (IR) INTERN

About the program About the Program EduRankAI is an Artificial Intelligence, Education Technology, Research, and Enterprise Technology organization developing intelligent digital platforms, enterprise software, and technology solutions for academia, industry, government, and global organizations. The Information Retrieval IR Internship provides practical exposure to search systems, information retrieval, document indexing, query processing, retrieval algorithms, semantic search, vector search, retrieval optimization, and intelligent information access systems. Interns will contribute to the development of scalable retrieval pipelines that enable efficient discovery, ranking, and retrieval of relevant information from structured and unstructured data sources. Working alongside artificial intelligence, machine learning, software engineering, data science, and research teams, interns will gain handson experience in designing, implementing, evaluating, and optimizing modern information retrieval systems while strengthening their understanding of search technologies, semantic retrieval, retrieval evaluation, and AIpowered information access platforms. Key Responsibilities Assist in developing information retrieval and search systems. Support document indexing and content organization pipelines. Implement keywordbased and semantic retrieval solutions. Assist in developing vector search and embeddingbased retrieval systems. Support query processing and search optimization initiatives. Participate in search ranking and retrieval relevance improvement projects. Assist in retrieval evaluation using standard IR metrics. Support search analytics and user query analysis. Prepare technical documentation, datasets, and engineering reports. Collaborate with AI, software engineering, data science, and research teams on live projects. Stay updated with advancements in information retrieval, semantic search, and search technologies. Perform additional information retrieval assignments as required. Learning Outcomes Interns will gain practical exposure to: Information Retrieval Search Systems Document Indexing Query Processing Inverted Indexes Semantic Search Vector Search Dense Retrieval Sparse Retrieval Embedding Models Search Ranking Search Relevance Retrieval Evaluation Information Access Systems Search Analytics Retrieval Optimization Technical Documentation Eligibility Students pursuing or having completed: B.E.B.Tech in Computer Science Engineering Artificial Intelligence Machine Learning Data Science Information Technology Software Engineering Information Science Electronics Communication Engineering M.E.M.Tech in relevant disciplines MCA M.Sc. in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Information Science, or related disciplines Any equivalent programme Strong programming skills, analytical thinking, problemsolving abilities, mathematics, and an interest in Artificial Intelligence, Search Systems, and Information Retrieval will be an added advantage but are not mandatory. Department Artificial Intelligence Data Science Qualification Type UG PG Qualification B.E. B.Tech M.E. M.Tech MCA M.Sc. Select Specialisation Computer Science Engineering Artificial Intelligence Machine Learning Data Science Software Engineering Information Technology Information Science Mathematics Statistics Electronics Communication Engineering Any Relevant Engineering or Science Discipline Perks Internship Certificate Letter of Recommendation (Performance Based) Mentorship from experienced AI and engineering professionals. Opportunity to contribute to live information retrieval, search, and semantic AI projects. Exposure to search architectures, retrieval algorithms, semantic search, vector databases, and AI-powered information access systems. Professional development sessions on Artificial Intelligence, Information Retrieval, search engineering, software engineering, and research methodologies. Outstanding performers may be considered for extended internships, leadership opportunities, or future full-time positions based on organizational requirements. 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 Internship Type: Full-Time Mode of Internship: Online Duration: 3 Months Working Days: 6 Days per Week Total Engagement: Approximately 40 Hours Per Week (?480 Hours over 12 weeks) Project Work / Departmental Responsibilities: Approximately 5 Hours Per Day Holistic Well-being & Personal Development: Approximately 1 Hour 40 Minutes (1.67 Hours) Per Day, including physical fitness, mindfulness, reading, reflective learning, leadership development, community engagement, and other approved personal development activities. Weekly mentor reviews and performance evaluations will be conducted. Interns are expected to maintain professionalism, confidentiality, ethical conduct, and adherence to organizational policies. This is an unpaid internship. Internship Certificate will be awarded upon successful completion of internship requirements. Internship does not constitute an offer of employment. Number of openings 10