Intern – Fullstack & AI Innovation

Noise

  • Gurugram, Haryana, India
  • Internship, 6 months
Job Description:

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.

Experience Range:

0 - 1 years

Educational Qualifications:

-Final-year students , -fresh graduates

Job 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.

Skills Required:

Python , JavaScript , TypeScript , Kotlin , Swift , Dart , Java , C++ , React , Next.js , Node.js , Flutter , TensorFlow , PyTorch , OpenCV , LangChain , OpenAI , Hugging Face , Vertex AI , Firebase , AWS , Azure , Prompt engineering , RAG , API integrations , Model fine-tuning , Git , Docker , REST APIs , GraphQL , CI/CD , Containerization , Microservices , AI/ML , Mobile Development , Web Development , System Design , Designing APIs , Optimizing frontend performance , Research , Experimentation , Write clean, efficient, and scalable code , Collaborate , Algorithm design , Data engineering , Deployment automation , Problem-solving , Algorithmic thinking , Ability to pick up new frameworks and tools quickly , wearable tech , sensors , edge AI , full product lifecycle

Candidate Attributes:

  • 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.

Job Code: KL-PZEN2G4M
About Us
India's number 1 smartwatch brand, Noise was founded with the mission to democratise connected lifestyle for Indians. With consumer centricity at its core, Noise has constantly come up with industry-leading and path-breaking innovations in audio and connected tech. With 9 industry-first innovations to our credit, we forge our way into the future with a heightened sense of co-creation and innovation in our products. We lay equal emphasis on our people and today have what we refer to as some of the best minds in the business. What ties us all is our quest for the best and we do it whilst cutting out the external opinions and listening to the noise within.
Why Us?
At Noise, you’ll be part of a fast-growing brand shaping how millions experience connected technology every day. We offer a dynamic, high-ownership environment where your ideas directly impact products used across the country. With a strong focus on innovation, design, and affordability, you’ll work on cutting-edge wearables and audio solutions while growing alongside a passionate, youthful team. If you’re looking to build meaningful products, accelerate your career, and make a real impact at scale, Noise is the place to be.