Applied AI Researcher

About the role

As a Applied AI Researcher, you will research and develop domain specific Large Language Models (LLMs) and Small Language Models (SLMs), retrieval systems, and scalable AI systems. The role will focus on model training and fine tuning, retrieval and RAG, model optimization, evaluation, and high performance computing for AI.

What you'll do

• Conduct research in Generative AI, LLMs, SLMs, retrieval systems, and AI systems
• Develop and optimize domain specific LLMs and SLMs using pre training, supervised fine tuning, preference tuning, reinforcement learning
• Design and improve retrieval and RAG systems using embeddings, hybrid retrieval, reranking, contextual chunking, and knowledge graphs
• Develop evaluation approaches for models and retrieval systems covering quality, accuracy, reliability, latency, and cost
• Research model optimization techniques such as quantization, pruning, distillation, sparsity, and efficient inference

What you need

• Machine learning
• LLMs
• PyTorch
• IPR
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Python
• C++