Generative AI Scientist / Lead Generative AI scientist

Key Responsibilities

• Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications in travel domain.
• Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER) like GLiNER, conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing.
• Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business like Bus, Rails, Hotels.
• Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization.
• Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals.
• Focus on hosting and deploying Generative AI models on robust and efficient infrastructure to support large-scale operations
  

Educational Qualification: B Tech/Masters from IIT/IIIT/IISC/ISI

What is the nature and scope of responsibilities the candidate should have handled?

• Deep experience in Natural Language Processing (NLP & NLI), small language models, base language model retraining (both transformer and BERT based architectures).
• Extensive experience in conversational NLP systems.
• Experience in SLM adaptor fine tuning, SFT training, SLM pruning (base and instruct models)
• Experience in retriever frameworks in Q&A bots.
• Experience in contrastive learning, graph learning based embedding
• Demonstrable experience in scaling your models to large scale search systems