Job Opportunity
As a research team member, you'll be working on developing and coding agents using state-of-the-art LLMs with automated pipelines.
- Write code for ML engines and micro-services pipelines.
- Optimize, train, and evaluate state-of-the-art GPT models.
- Research and Develop Agentic pipelines using LLMs.
- Research and develop RAG-based pipeline using vector DBs.
Requirements
You will need to have :
Prompt engineering and Agentic LLM frameworks like langchain / llama index.Good understanding of vectors / tensors and RAG pipelines.Knowledge of building NLP systems using transfer learning or custom NLP systems from scratch using TensorFlow or PyTorch.In-depth knowledge of DSA, async, Python, and containers.Transformers and NLP techniques are essential; deployment experience is beneficial.This internship position is available for final-year students. The duration will last 6-12 months before converting to a full-time job. A part-time arrangement is possible if needed.