✨ AI Summary
iSchool is seeking passionate students for a Product Development Internship. Interns will gain hands-on experience in designing, developing, testing, and enhancing products within a collaborative environment. The role offers tracks in Full-Stack Development (React.js, Node.js, APIs, databases), Data Analytics (data interpretation, reporting, insights), Quality Assurance (manual testing, defect tracking), and AI Engineering (AI/ML solutions, LLMs).
Requirements
Currently pursuing a degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.Knowledge of programming fundamentals and software development principles.Familiarity with Git and version control.Strong analytical and problem-solving skills.Good communication and teamwork abilities.Eagerness to learn, take initiative, and contribute to real product development.
Description
About iSchooliSchool is a leading EdTech company dedicated to empowering students with future-ready technology skills. We are looking for passionate and motivated students to join our Product Team and gain hands-on experience by contributing to real-world projects in a collaborative and innovative environment.Role OverviewAs a Product Development Intern, you will work alongside experienced professionals to support the design, development, testing, and enhancement of our products. Depending on your area of expertise and interest, you will join one of the following tracks:Full-Stack DevelopmentDevelop and maintain web applications using React.js and Node.js.Build and integrate RESTful APIs.Design, manage, and optimize databases.Collaborate with cross-functional teams to deliver high-quality features.Troubleshoot and resolve technical issues.Data AnalyticsCollect, analyze, and interpret data to support business and product decisions.Build reports and dashboards to monitor key metrics.Identify trends and provide actionable insights.Support data validation and reporting activities.Quality Assurance (QA)Execute manual testing for web and mobile applications.Identify, document, and track software defects.Verify bug fixes and perform regression testing.Ensure products meet quality standards before release.AI EngineeringSupport the development and integration of AI and Machine Learning solutions.Work with Large Language Models (LLMs) and AI-powered applications.Assist in testing and optimizing AI features.Research and implement emerging AI technologies.