Job Title

Job Description: AI Engineering Intern (unpaid)About the CompanyZetheta Algorithms Private Limited () is a FinTech start-up which has been recently set up and is developing innovative AI tools.About the RoleWe are seeking a talented and motivated student intern to develop an AI-powered recruitment and career development platform from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.ResponsibilitiesDesign and implement the complete system architecture following provided specificationsDevelop both frontend and backend components of the platformCreate and integrate AI modulesImplement Aadhaar card-based identity verification systemDesign and optimize database schema and queriesEnsure system security, especially for sensitive identity verification dataDeploy the solution using zero-cost cloud servicesDocument code, APIs, and system architectureComplete the entire project within the 2 month timeline QualificationsA student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field and is available full time for 2 months.Required SkillsStrong programming skills in Python and JavaScriptExperience with React.js for frontend developmentKnowledge of FastAPI or similar Python web frameworksFamiliarity with database design and SQL (particularly PostgreSQL)Understanding of basic machine learning conceptsSelf-motivated with ability to work independently Preferred SkillsSound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)Familiarity with computer vision techniques using OpenCVKnowledge of natural language processing conceptsSound knowledge of facial recognition or emotion detection systemsUnderstanding of identity verification methodologiesDocker containerization experiencePrior work with cloud deployment (AWS)Pay range and compensation packageThis is an unpaid internship opportunity that provides invaluable hands-on experience with cutting-edge technologies. Academic credit may be available depending on your educational institution's policies.