Selected Intern's Day-to-day Responsibilities Include
- Assist in designing, training, and evaluating machine learning and deep learning models.
- Work on fine-tuning open-source and proprietary LLMs (e.g., LoRA, QLoRA, PEFT
techniques) for domain-specific use cases.
- Support development of Generative AI applications (text, chat, RAG-based systems,
multimodal models).
- Contribute to building and experimenting with agentic AI systems — multi-step
reasoning, tool use, and autonomous workflows using frameworks like LangChain,
LangGraph, CrewAI, or similar.
- Prepare, clean, and preprocess datasets for training and fine-tuning tasks
- Run experiments, track metrics, and document model performance (accuracy, latency, hallucination rates, etc.)
- Stay updated with the latest research papers, tools, and trends in GenAI, LLMs, and agentic frameworks, and propose applicable ideas
About Company: IntelliSQr is a technology procurement platform for business analytics solutions across different industries. We believe that the customer does not have to reinvent the wheel to solve a business problem. We bring business analytics closure to the customer by recommending an appropriate solution to their business and technical requirements.
Skills Required
Machine Learning, Deep Learning