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.
Responsibilities
- 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.
- Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
- Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
- 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.
- Opportunity to work with high-volume click-stream e-commerce data.
- Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
- Opportunity to transform data at MMT into a tangible business impact through data science.
Requirements
- Strong Python programming skills.
- End-to-end experience of training and deploying machine learning models.
- Strong machine learning and statistical foundation.
- 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.
- Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
- ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
- Strong problem-solving and conceptual thinking abilities.
- Ability to work in a fast-paced and deadline-driven environment.
- Experience working in the e-commerce domain is a plus.
- BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
- MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
- 1-3 years of work experience, which should include a minimum of 2 years of experience in Data Science.
