About the opportunity:
Role: Sr. Data Scientist-II
Location: Bangalore
About The Function
At MakeMyTrip (MMT), technology is at the heart of everything we do. As a leading player in the travel industry, we leverage cutting-edge solutions like AI, machine learning, and cloud infrastructure to create seamless and innovative travel experiences. We prioritize a tech-first mindset, where our engineering teams lead the charge in transforming the way people travel.
Our culture encourages collaboration, creativity, and thought leadership, empowering engineers to challenge the status quo and develop impactful, game-changing solutions. At MMT, you'll work with the latest technologies, continually push boundaries, and have the chance to shape the future of travel.
Join us and become part of a forward-thinking, tech-driven organization that thrives on innovation and continuous learning.
About The Role
MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data.
What Will You Be Doing
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Build and deploy state-of-the-art ML/deep learning models for use cases in hotels, Flights, cross-selling, Ad notification, and a few other problems that straddle across multiple lines of business.
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Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
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Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
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Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework.
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Opportunity to work with high-volume click-stream e-commerce data.
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Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
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Opportunity to transform data at MMT into a tangible business impact through data science.
Qualification & Experience
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Strong Python programming skills.
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End-to-end experience of training and deploying machine learning models.
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Strong machine learning and statistical foundation.
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Ideally, but not mandatory, have trained and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data.
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Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
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ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
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Strong problem-solving and conceptual thinking abilities.
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Ability to work in a fast-paced and deadline-driven environment.
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Experience working in the e-commerce domain is a plus.
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BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
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MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
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4-6 years of work experience, which should include a minimum of 4 years of experience in Data Science.
