Gurgaon · Internship
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Location: On-site, Noise Office, Gurgoan
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 that span 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 the builders who want to explore everything: from backend algorithms to frontend interfaces, from AI-driven systems to cross-platform apps.
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.
Preferred Skills & Tech Exposure
You don’t need to know everything, but you should be excited to learn anything.
Languages & Frameworks:
Python, JavaScript/TypeScript, Kotlin, Swift, Dart, Java, C++
React / Next.js / Node.js / Flutter
TensorFlow / PyTorch / OpenCV / LangChain
AI & Cloud Tools:
OpenAI, Hugging Face, Vertex AI, Firebase, AWS, Azure, etc.
Prompt engineering, RAG, API integrations, and fine-tuning models
Development & DevOps:
Git, Docker, REST APIs, GraphQL
CI/CD, containerization, and microservices familiarity
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 full product lifecycle (prototype → deploy → scale)
Real-world exposure across AI, full-stack, mobile and wearable ecosystems
Opportunity to work directly with senior tech leads and leadership team
Mentorship on research and development, product design, and AI research
This internship is perfect for:
Final-year students or fresh graduates 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
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