NOISE
Intern - Fullstack & AI Innovation
Skills
15 days ago
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Important information
Work mode:
Onsite
Published on:
6 October 2026
What they need
About the Role :
We are looking for a Tech Intern who lives and breathes code - someone curious, creative, and comfortable learning any tech stack thrown at them. You'll work on cutting-edge projects spanning mobile (Android/iOS), web, AI/ML, and system design, contributing to both product development and experimental R&D initiatives. This is not a "one-stack" internship. It's for builders who want to explore everything: from backend algorithms to frontend interfaces, from AI-driven systems to cross-platform apps.
Key Responsibilities :
- Build, test, and deploy applications across Web, Android, and iOS.
- Implement and fine-tune AI/ML models for real-world use cases (LLMs, vision, signal processing, etc.).
- Contribute to full-stack development, from designing APIs to optimizing frontend performance.
- Research and experiment with emerging technologies (GenAI, automation, multimodal interfaces, etc.).
- Write clean, efficient, and scalable code across multiple frameworks and languages.
- Collaborate with core developers, designers, and AI engineers to build innovative prototypes.
- Participate in algorithm design, data engineering, and deployment automation tasks.
Requirements :
- Strong problem-solving and algorithmic thinking skills.
- Curiosity about how AI integrates into real-world apps.
- Ability to pick up new frameworks and tools quickly.
- Hands-on project experience (personal, academic, or open source).
- Passion for innovation and technology trends.
- Prior experience with wearable tech, sensors, or edge AI.
- Contributions to open-source or AI-driven projects.
- Experience in the full product lifecycle (prototype deploy scale).
- Passionate about end-to-end tech.
- Self-taught coders who love to experiment with new tools and frameworks.
- Builders who want to explore the intersection of AI + software + hardware.
Pay: ₹20,000.00 - ₹30,000.00 per month
Work Location: In person
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