Bengaluru, Karnataka, India
None Not disclosed
Remote
Internship
About Slideoo AI We’re building a next-generation AI Office Suite to help professionals work faster and smarter. Slideoo addresses the productivity gap between information retrieval and content creation. It allows users to consolidate knowledge from internal tools and turn it into engaging presentations, reports and other types of documents. 💼 What You’ll Be Doing As a Front-End Intern, you’ll work closely with the founders and product team to: Redesign and implement responsive, modern UI/UX using React.js and Next.js Translate Figma designs into high-quality, component-based front-end code Integrate APIs, AI models, and backend services into the frontend Collaborate with backend developers (Node.js/Python) for seamless feature delivery Help build workflows for AI-powered documents, slides, and spreadsheets Contribute to code reviews, debugging, and performance optimization ✅ What We’re Looking For Solid experience with React.js and Next.js (multiple projects or internships level) Strong grasp of UI/UX principles and ability to build clean, user-friendly interfaces Comfortable with Figma , API integration , and building responsive layouts Bonus points for experience in Node.js or Python , especially for integration workflows Previous experience building real-world projects (please share GitHub/portfolio) Self-starter attitude and eagerness to learn in a fast-paced environment 📌 Internship Details 📍 Location : Hybrid – Bengaluru (remote, with in-person syncs weekly) 💸 Stipend : ₹20,000–₹25,000/month 📅 Duration : 4 to 6 months 🎯 Full-time role opportunity post-internship based on performance
Bengaluru, Karnataka, India
None Not disclosed
Remote
Internship
About Slideoo AI We’re building a next-generation AI Office Suite to help professionals work faster and smarter. Slideoo addresses the productivity gap between information retrieval and content creation. It allows users to consolidate knowledge from internal tools and turn it into engaging presentations, reports and other types of documents. Internship Job Requirement : We are seeking a motivated intern to join our team, working on cutting-edge machine learning and data science projects. The role focuses on developing agentic systems using Python and FastAPI, with hands-on applications in machine learning and data science. Knowledge of transformer architectures is essential, and familiarity with cloud deployment is a plus. Responsibilities Develop and implement agentic systems using Python and FastAPI. Design, train, and evaluate machine learning models for real-world data science use cases. Collaborate on projects involving transformer-based architectures (e.g., BERT, GPT). Preprocess and analyze datasets to support model development. Document code, experiments, and findings clearly and concisely. (Optional) Assist in deploying models to cloud platforms. Required Qualifications Proficiency in Python programming. Experience with FastAPI for building APIs. Hands-on experience in machine learning and data science use cases (e.g., classification, regression, NLP). Strong understanding of transformer architectures (e.g., attention mechanisms, BERT, GPT). Familiarity with libraries like TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Basic knowledge of data preprocessing, feature engineering, and model evaluation. Strong problem-solving skills and eagerness to learn. Preferred Qualifications Experience with cloud deployment (e.g., AWS, Azure, GCP) is a plus. Knowledge of version control systems (e.g., Git). Exposure to agentic system design principles. Requirements Current enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, or a related field. Availability to work full-time for 4-6 months. Portfolio or GitHub showcasing relevant projects (e.g., ML models, FastAPI apps, transformer implementations). 📌 Internship Details 📍 Location: Hybrid – Bengaluru (remote, with in-person syncs weekly) 💸 Stipend: ₹20,000–₹25,000/month 📅 Duration: 4 to 6 months 🎯 Full-time role opportunity post-internship based on performance
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