Senior Data Scientist

MakeMyTrip · Bengaluru

  • Experience2–5 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted2 Sept 2026
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About MakeMyTrip

MakeMyTrip is hiring in Bengaluru in hospitality travel. This role looks for around 2+ years of experience.

Skills

  • Natural Language Processing
  • Natural Language Inference
  • small language models
  • Transformer
  • BERT
  • conversational NLP
  • retriever frameworks
  • contrastive learning
  • graph learning
  • Generative AI
  • SFT training
  • SLM pruning
  • model deployment

The role

A generative AI engineer at a travel marketplace develops Natural Language Processing systems and conversational AI for search, chatbots, and agentic applications, applying small language models, reinforcement learning, and active learning pipelines to improve user experiences. The role also deploys models on scalable infrastructure and guides engineering teams.

Full job description

Responsibilities:

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.

Requirements:

Deep experience in Natural Language Processing (NLP and 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, and SLM pruning (base and instruct models)

Experience in retriever frameworks in QA bots.

Experience in contrastive learning, graph learning based embedding methods with heterogeneous 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 a fast-paced environment.