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

About the Role

As an AI Intern at intellisqr, you'll be working on cutting-edge projects that involve designing, training, and evaluating machine learning and deep learning models. Your day-to-day responsibilities will include fine-tuning open-source and proprietary Large Language Models (LLMs) for domain-specific use cases, supporting the development of Generative AI applications, and contributing to the building and experimenting with agentic AI systems.

Key Responsibilities

• Design, train, and evaluate machine learning and deep learning models for various use cases.
• Work on fine-tuning open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
• Support the development of Generative AI applications, including text, chat, and RAG-based systems.
• 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 and chat-based systems
• LLMs (Large Language Models)
• RAG-based systems
• LangGraph
• Agentic AI systems
• LoRA
• QLoRA
• Multimodal models
• Bachelor's degree in Computer Science, Engineering, or a related field
• Basic understanding of programming languages like Python
• Familiarity with popular deep learning frameworks like TensorFlow or PyTorch
• Experience with version control systems like Git

What You'll Learn

As an AI Intern at intellisqr, you'll have the opportunity to learn from experienced professionals and work on real-world projects that involve cutting-edge technologies like Generative AI, LLMs, and agentic frameworks. You'll gain hands-on experience in designing, training, and evaluating machine learning and deep learning models, and develop skills in fine-tuning LLMs and building agentic AI systems.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning and deep learning frameworks, as well as your familiarity with popular tools like LangChain and CrewAI. Include any relevant projects or contributions to open-source repositories that demonstrate your skills in these areas.