Lead Data Scientist

23 hours ago


Bengaluru, Karnataka, India MakeMyTrip Full time
We are looking for a Lead Data Scientist to join our dynamic team at MakeMyTrip. 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.

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.

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.

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.

BE/BTech from Tier 1 colleges (IITs/ IIIT/ NITs).

~ D. in CS/ECE/AI/ML or equivalent fields.

~5-8 years of work experience in DS/AI/ML; 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.
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