AI/ML Intern

About The Role

We are looking for a passionate and driven AI/ML Intern to join our team. This role is ideal for recent graduates who are eager to work on real-world AI applications, including LLM integrations, modern AI frameworks, and scalable backend systems.

You will gain hands-on experience building intelligent systems with cutting-edge tools and contribute to production-level AI solutions.

Key Responsibilities

• Work on real-world AI/ML problems with a strong focus on problem-solving and analytical thinking.
• Build and integrate LLM-based applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Work with LangChain, LangGraph, and other modern AI orchestration tools.
• Develop and integrate REST APIs for AI services.
• Collaborate on backend systems using Python frameworks such as FastAPI or Django.
• Understand and contribute to web architecture and system design.
• Work with structured and unstructured data.
• Implement and optimize embeddings and vector search.
• Use and manage vector databases.
• Experiment with transformer-based models.
• Write clean, modular, and reusable code using object-oriented programming principles.
  
  

Required Skills And QualificationsCore Requirements

• Strong problem-solving and analytical skills.
• Hands-on practical experience with Python.
• Good understanding of object-oriented programming (OOP).
• Familiarity with modern AI tools and frameworks.
• Understanding of REST APIs and web services.
• Basic knowledge of web architecture.
  
  

AI/ML and Data Skills

Understanding Of

• Embeddings
• Transformer-based models
• RAG pipelines
  
  

Experience Or Exposure To

• LangChain and LangGraph
• LLM integration, including OpenAI and open-source models
  
  

Familiarity With Vector Databases Such As

• FAISS
• Pinecone
• Chroma
  
  

Backend and Database Skills

• Experience with at least one Python backend framework:
• FastAPI
• Django
• Knowledge of SQL databases, such as MySQL and PostgreSQL.
• Knowledge of NoSQL databases, such as MongoDB.
  

JavaScript Skills — Good to Have

• Basic to intermediate knowledge of JavaScript (ES6+) and/or TypeScript.
• Understanding of asynchronous programming, including Promises and async/await.
• Familiarity with frontend frameworks or libraries such as React.js is preferred but not mandatory.
• Ability to integrate frontend applications with backend REST APIs.
• Basic understanding of:
• Component-based architecture
• State management concepts
• Experience building simple user interfaces for AI applications, such as chat interfaces or dashboards, is a plus.
  

Education Requirements

Applicants should be recent graduates with one of the following qualifications:

• B.Tech or B.E. in Computer Science, Information Technology, or a related field
• Master of Computer Applications (MCA)
• M.Sc. in Information Technology or Computer Science
• Any other relevant Computer Science degree
  
  

Good to Have

• Experience deploying ML/AI models.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Docker or containerization.
• Personal or academic AI projects.
• A GitHub portfolio showcasing relevant work.
  
  

What You'll Gain

• Hands-on experience with production-level AI systems.
• Exposure to cutting-edge AI tools and LLM ecosystems.
• Mentorship from experienced engineers.
• An opportunity for full-time conversion based on performance.
  
  

Note: This is a paid internship.Skills: artificial intelligence,ml,databases,models,computer science,architecture