Artificial Intelligence Intern

About the Role

Intuitive Research and Development Pvt. Ltd. (IRDPL) is seeking enthusiastic AI Interns with strong technical fundamentals and a keen interest in developing AI models, Large Language Models (LLMs), Agentic AI, and Physical AI for next-generation robotics. Professional experience is not mandatory.

Key Responsibilities

• Explore and develop LLM architectures and Transformer-based models.
• Work on model training, fine-tuning, evaluation, and optimization.
• Research Vision-Language Models (VLMs) and Vision-Language-Action (VLA) models.
• Develop Agentic AI systems for reasoning, planning, and decision-making.
• Work on multimodal AI involving text, images, video, and sensor data.
• Explore Physical AI and embodied intelligence for robotics.
• Develop AI models for robotic perception, scene understanding, and task execution.
• Work on dataset preparation, synthetic data generation, and model evaluation.
• Experiment with Reinforcement Learning and Imitation Learning.

Requirements & Tech Stack

• Strong programming knowledge in Python.
• Good understanding of Machine Learning and Deep Learning fundamentals.
• Understanding of LLMs, Transformers, Attention Mechanisms, and Neural Networks.
• Familiarity with PyTorch and TensorFlow.
• Knowledge of Hugging Face and model fine-tuning.
• Understanding of tokenization, embeddings, and vector databases.
• Basic knowledge of GPU computing and model deployment.
• Strong interest in AI architecture and core model development.

Good to Have

• Familiarity with LangChain, LangGraph, and CrewAI.
• Knowledge of VLM, VLA, and multimodal AI architectures.
• Understanding of LoRA, QLoRA, and PEFT.
• Knowledge of Reinforcement Learning and Diffusion Models.
• Familiarity with OpenVLA, RT-2, and other robotics foundation models.
• Basic understanding of ROS 2 and robotics.

Qualifications

• B.E./B.Tech/M.Tech students or fresh graduates in Computer Science, AI/ML, Robotics, or related disciplines.
• Strong academic and practical understanding of AI/ML concepts.
• Academic projects, personal projects, GitHub contributions, or research work in AI/ML are highly preferred.
• Good problem-solving, analytical, and research-oriented mindset.