Back to Jobs
G
Director

Director - Data Science

Goibibo·Posted 1 week ago

Location

Bangalore

Experience

14–18 years

Required Skills

Data ScienceDeep LearningPyTorchGPTNLPCIOLLM

About the Role

Description :



About the Function :


The Data Platforms and Personalization team at MakeMyTrip is at the forefront of transforming the traveler experience by leveraging data and intelligence to deliver highly relevant, seamless, and engaging journeys. The team focuses on building scalable data platforms and advanced personalization capabilities that enable tailored recommendations, contextual interactions, and optimized user journeys across the platform. Join us to be part of this revolution and drive platform driven personalization to the next level!



About the Role :


As a Director - Data Science in data platforms and personalization team, the role focuses on building AI-driven travel experiences by designing intelligent agents for trip planning, itinerary creation, and real-time user support. It involves developing personalized and dynamic recommendation systems, as well as creating multi-modal solutions that leverage text, images, and user preferences to enhance the overall travel experience.



Key Responsibilities :


- Design and develop AI agents that assist travelers in trip planning, itinerary creation, and real-time query resolution.


- Deploy models that power contextual personalization and dynamic recommendations for a seamless user experience.


- Build multi-modal systems integrating travel data (text, images, and customer preferences) for enriched user interactions.


- Innovate in latency reduction and scalability for AI pipelines to ensure fast and efficient deployment in production environments.


- Collaborate on designing systems for search relevance, intent detection, and query optimization using advanced NLP techniques.



What youll bring to the table :


- Experience Level : 14+ years


- Education : BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). Preferably MS or Ph.D. in CS/ECE/AI/ML or equivalent.

Technical Expertise :


- Strong experience with deep learning frameworks like PyTorch and TensorFlow and proficiency in transformer-based models such as GPT-3/4, T5, BERT, or similar.


- Expertise in NLP techniques, including text generation, summarization, sentiment analysis, and embeddings.


- Practical experience in developing and fine-tuning LLMs using techniques like distillation, few-shot learning, and policy optimization.

Domain Knowledge :


- Deep understanding of data-centric machine learning to enhance model performance with well-structured datasets.


- Experience with AI-driven personalization, search relevance, and ranking systems, particularly in travel or e-commerce domains.

Problem-Solving Prowess :


- Ability to solve complex problems, with a focus on latency optimization, efficiency, and domain-specific relevance.

Collaboration and Communication :


- Strong ability to communicate technical concepts effectively with both technical and non technical stakeholders.


- A proactive mindset for collaboration across teams to achieve shared goals.



What Makes Us Awesome?


- Be a part of AI-driven innovation shaping the global travel experience.


- Work on cutting edge AI tech that impact millions of users worldwide.


- Collaborate with a passionate, forward-thinking team in a data-rich environment.


- Drive industry-leading advancements in Generative AI and personalized travel solutions.



Ready to engineer the future of travel? Join us at MakeMyTrip and redefine the possibilities of AI in travel planning!


Land this role fasterProfessional
🎙️

SAGE

Mock interview coach

Rehearse the 5 most-likely questions for this role with live AI feedback.

📄

SPAR

Resume tailoring

Rewrite your resume to lead with what this hiring panel cares about.

🤝

REACH

Warm intro outreach

Find the hiring manager + 2nd-degree intros and draft the messages.

More Engineering & Technology Roles

View all

90% of leadership roles never appear on job boards

Join HireIQ to access confidential opportunities, AI-powered matching, and direct connections to hiring decision-makers.

Join the Talent Network