Artificial Intelligence (AI) Internship in Delhi, Ghaziabad, Gurgaon, Haryana

About the Role

As an AI Intern at intellisqr, you'll work on cutting-edge projects in machine learning and deep learning, fine-tuning large language models, and developing generative AI applications. Your tasks will involve designing, training, and evaluating models, as well as contributing to the development of agentic AI systems. You'll have the opportunity to stay updated with the latest research papers, tools, and trends in GenAI, LLMs, and agentic frameworks.

Key Responsibilities

• Assist in designing, training, and evaluating machine learning and deep learning models.
• Work on fine-tuning open-source and proprietary LLMs for domain-specific use cases.
• Support development of Generative AI applications, including text, chat, RAG-based systems, and multimodal models.
• Contribute to building and experimenting with agentic AI systems, focusing on multi-step reasoning, tool use, and autonomous workflows.
• Prepare, clean, and preprocess datasets for training and fine-tuning tasks.
• Run experiments, track metrics, and document model performance.

Skills & Qualifications

• Machine Learning
• Deep Learning
• LangChain
• CrewAI
• PEFT
• Generative AI
• text chat
• LLMs
• RAG-based systems
• LangGraph
• agentic AI systems
• LoRA
• QLoRA
• multimodal models
• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• Strong understanding of machine learning and deep learning concepts.
• Experience with Python programming language.
• Familiarity with frameworks like LangChain, LangGraph, CrewAI, or similar.

What You'll Learn

As an AI Intern at intellisqr, you'll gain hands-on experience in designing, training, and evaluating machine learning and deep learning models. You'll learn about fine-tuning large language models and developing generative AI applications. Additionally, you'll stay updated with the latest research papers, tools, and trends in GenAI, LLMs, and agentic frameworks.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning and deep learning concepts, as well as your familiarity with frameworks like LangChain, LangGraph, CrewAI, or similar. Include specific examples of projects you've worked on, and how they demonstrate your skills in these areas.