Job Description

• Delhi

Tap Health is looking for full-time (40hrs+/week) GenAI Interns, who have some practical exposure to at least one of the below focus areas:

• LLM Finetuning (Involves searching high-quality train & validation datasets), and working with Neural optimization
• RAG Agents, and RAG orchestrators
• Knowledge Graphs Vectorization and incorporating them into RAG LLM Framework

We are looking for full-time interns, whom we could bring in-house full-time in 6-12 months, conditioned on successful project milestones

The ideal candidate should have at least 6 of the below 10 qualities:

• Understanding of the fundamentals of fine-tuning, optimization, and neural architectures
• Experience working with Python, PyTorch, FastAI frameworks
• Experience running production workloads on one of the hyper scalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc)
• Conceptual understanding of how LLMs work, and when they don't work
• Advantages that could be expected to be realized in finetuning, and what datasets should be selected for that
• Understanding of Training & validation data for finetuning
• Understanding or metrics for evaluating finetuned models, as well as industry-specific public benchmarking standards for Healthcare space
• Basic understanding & experience working with RAG Agents
• Basic understanding & experience working with GraphRAGs and Knowledge Graphs
• Comfort with code reviews and standard coding practices in Python, Git

Please fill up this Google form to be considered for this role: https://docs.google.com/forms/d/e/1FAIpQLSeCsxvhzBd6TR5ZN8UE-Kuw6xeSOhPgxS9gFMwX4njulnTJmA/viewform?usp=sf_link