Principal Data Scientist

Job description

Location: MakeMyTrip, Bangalore Experience Level: 8-10 years Position: Principal Data Scientist Reimagine Travel decisions with the power of AI @ MakeMyTrip. MakeMyTrip has been AI/ML/Data/Platform powered organization. We are now shaping the future of travel for Bharat customers, with GenAI-centric innovations, leveraging SLMs, Vernacular STT/TTS, and travel content systems. Join us to take these systems, chatbots, Cx, content to next orbit of excellence. **About The Role** As a Principal data scientist , you will: - Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance. - Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training (DPO, PPO, SteerLM etc), enhancing multi-agent response quality and relevance. - Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning . - Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem. - Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization. - Mentor and guide engineering teams in advanced SLM and Generative AI analytics , fostering growth and innovation. - 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. **What You Bring** - Deep experience in Natural Language Processing (NLP & NLI), tiny/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 methods with heterogenous features. - Preferably experience in building NLP active learning pipelines. - Demonstrable experience in scaling your models to large scale search systems is a plus. - Very good critical reasoning skills, data centric NLP/NLI systems. - Must have temperament and hunger to work in fast-paced environment. Why Join Us? Be part of a team revolutionizing the travel industry with cutting-edge AI and Generative AI technologies, impacting millions of users worldwide.