15 hours ago
Bengaluru, IndiaIntern
Responsibilities
- Research and implement RAG and other techniques to improve language model capabilities.
- Prepare data and support fine-tuning, quantization, and training of small transformer models.
- Help develop an internal orchestration framework for LLMs.
- Integrate LLM software components into existing system architecture with senior engineers.
- Support model deployment and monitoring in production environments.
- Document processes, workflows, and findings for knowledge sharing and reproducibility.
Requirements
- Strong Python skills.
- Experience with data wrangling and preprocessing.
- Familiarity with LangChain, LlamaIndex, and vector databases.
- Understanding of transformer architecture, embeddings, and tokenizers.
- Experience with TensorFlow or PyTorch.
- Understanding of LLMs, fine-tuning techniques, and RAG methodologies.
- Proficiency with Git and software development best practices.
Benefits
- Six-month internship.
- Student employment opportunity.
- Flexible working arrangements where possible.