Highlights
Hands-on experience, mentorship from professionals, real-time project involvement, AI implementation, industry training academy.
Description
Job Summary
pThis role offers a unique opportunity for an intern to dive into AI and machine learning alongside the development of modern web applications using the MERN stack. You will work on real-time projects, contribute to innovative product development, and gain hands-on experience with both frontend and backend technologies.
Responsibilities
- Developing and maintaining web applications using MongoDB, Express.js, React.js, and Node.js
- Building responsive frontend components and backend APIs
- Collaborating on live client and product-based projects
- Assisting in implementing AI features and working on machine learning models
- Participating in research and experimentation for AI-driven product enhancements
Required Skills
- MERN Stack Development
- AI/ML Implementation
- Data Preprocessing
- React.js and Node.js
- Pandas and NumPy Libraries
Required Skills Explained
- MERN Stack Development: Understanding of MongoDB, Express.js, React.js, and Node.js for web application development.
- Frontend and Backend Integration: Knowledge on building responsive frontend components and backend APIs with RESTful services and database integration.
- AI/ML Concepts: Basic to intermediate understanding of Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or similar tools for machine learning tasks like data preprocessing, model evaluation, and AI integrations.
- Data Handling: Familiarity with handling large datasets and implementing machine learning models.
- Git/GitHub: Basic understanding of version control systems to manage code changes and collaborate effectively.
Who is this for
pThis position is ideal for final-year students or recent graduates with a passion for AI, machine learning, and software development. Candidates should be eager to learn and work collaboratively in a fast-paced startup environment.
Why This Job is a Good Opportunity
ulliReal-World Experience: Gain practical experience in developing real-time projects for clients across multiple markets, enhancing your technical skills through hands-on work.liMentorship: Learn from experienced professionals who are committed to nurturing talent and fostering growth within the organization.liDiverse Learning: Explore a blend of software development and AI/ML implementation, expanding your skill set beyond traditional programming roles.liStartup Environment: Work in a fast-growing startup setting where innovation is at the core, offering numerous opportunities for professional development and networking.
Interview Preparation Tips
- Review MERN Stack Basics: Ensure you have a solid understanding of MongoDB, Express.js, React.js, and Node.js concepts.
- Data Science Fundamentals: Brush up on Python libraries like Pandas, NumPy, Scikit-learn, TensorFlow for machine learning projects.
- API Integration: Practice working with REST APIs and API authentication techniques to enhance your frontend/backend skills.
- Git/GitHub Proficiency: Be prepared to demonstrate familiarity with version control systems, including branching, merging, and pull requests.
Career Growth in This Role
pThis internship provides a stepping stone towards a career in AI/ML & MERN Stack development. As an intern, you'll not only develop technical skills but also gain insights into product development processes and industry practices. The hands-on experience with real-time projects will prepare you for full-time roles in software development or AI implementation. Additionally, the mentorship from experienced professionals and exposure to live AI applications can significantly enhance your employability by equipping you with the latest industry trends and technologies.
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Skills
Frequently Asked Questions
What is the internship type?This is a full-time on-site internship.
Is relocation required for this position?Relocation to Salem or nearby locations is preferred, but not mandatory.
How will my performance be evaluated?Performance will determine whether you receive an employment opportunity after the internship.
