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We are looking for a Lead Data Scientist to join our dynamic team at MakeMyTrip. This is an exceptional opportunity for a seasoned expert to contribute to our hotel ranking, recommendations, pricing, discovery and personalization charters. Job Description: As a Lead Data Scientist, you will: Build, deploy, and monitor cutting-edge ML models; models range from classical machine learning and deep learning to more recent advancements in fine-tuning LLM/SLMs. Use these models as central elements of frameworks like learning to rank, candidate generation / personalization, reinforcement learning, uplift modelling and price elasticity modelling. Leverage recent advancements in LLM/GenAI architectures and frameworks to further enhance model performances. Engage with stakeholders (product and tech) throughout the project lifecycle, from data acquisition to problem specifics, A/B experimentation, and model iterations. Mentor junior data scientists and data engineers. Take ownership of full deployment ecosystem -- enhancing model infrastructure pipelines, evaluation pipelines, and scalable APIs to ensure 99% SLA at high RPS with low latencies. Leverage massive datasets at MakeMyTrip & GoIbibo to create significant business impact through data science. Desired Profile: We are seeking individuals who are: Highly proficient and possess intimate familiarity with DL/ML concepts, with a strong foundation in math/statistics. Experienced in training and deploying deep learning models for ranking/search/pricing/fraud systems. Comfortable with big data tools like Pyspark to build feature engineering pipelines. Skilled in training tabular, sequential, text, and graph based (GNN) models, and in user, session, product/item representation learning. Capable of complex SQL/Python data analyses, error analyses, A/B metric evaluation, and bridging gaps between business and offline metrics. Comfortable in a fast-paced, business impact-driven DS environment. Experienced in deploying models to serve real-time ML use cases, for millions of users at ultra-low latencies. Eager to learn and leverage Gen AI capabilities for business use cases. Qualifications: BE/BTech from Tier 1 colleges (IITs/ IIIT/ NITs). MS or Ph.D. in CS/ECE/AI/ML or equivalent fields. 5-8 years of work experience in DS/AI/ML; at least 2+ years in e-commerce B2C. Join us and be a part of a team that transforms data into tangible business assets and drives significant business impact through data science. Apply now to embark on a rewarding journey in the realm of data science and e-commerce. Show more Show less
