React JS Intern

2 weeks ago

Kolhapur, India MachineHack Generative AI Full time

MachineHack is a pioneering platform that provides machine learning enthusiasts, professionals, and researchers with the opportunity to solve real-world problems through AI and ML competitions. Our mission is to accelerate the world's adoption of artificial intelligence through community-driven challenges, fostering innovation and learning. As we continue to grow, we are looking for a Product Lead - Artificial Intelligence to spearhead our product development initiatives and contribute to our mission of advancing AI.


Project Role: React JS Intern


Description: The primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. Use development skills to deliver innovative solutions that help to build products for scale.


Roles & Responsibilities:

  • Developing new user-facing features using React.js
  • Building reusable components and front-end libraries for future use
  • Translating designs and wireframes into high quality code
  • Optimizing components for maximum performance across a vast array of web-capable devices and browsers


Professional & Technical Skills:

  • Strong proficiency in TypeScript, JavaScript, including DOM manipulation and the JavaScript object model
  • Thorough understanding of React.js and its core principles
  • Experience with popular React.js workflows (such as Flux or Redux)
  • Familiarity with RESTful APIs
  • Understanding of database technologies such as MongoDB, MySQL or PostgreSQL.
  • Knowledge of any CI/CD tools such as Github Actions, Jenkins or Code Pipeline.
  • Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
  • Strong understanding of software development principles and best practices.


Additional Information: The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering high-quality software solutions.

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