Director - Research at ixigo

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Foundation Models, Machine Learning, Applied Science, ML Engineering, Deep Learning, Transformers, Prompt Engineering, Fine-Tuning, MLOps, Distributed Computing, Vector Database, Generative AI, Vision-Language Models, Low-Latency Serving, Architecture

Industry

technology;Information and Internet

Description

Company Description Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com Job Description The Mission At ixigo, we’ve always been AI-first. From predicting PNR status to automating customer support, intelligence is in our DNA. As the Director of Research, you will lead our leap from traditional ML to a future powered by Agentic AI and Foundation Models. You will bridge the gap between "what’s possible" in a lab and "what’s valuable" for millions of Indian travelers, building the brain that powers the leading OTA for the Next Billion Users. What You’ll Do: The High-Stakes Stuff Define the long-term AI roadmap: You won’t just follow trends; you’ll decide how Machine Learning and AI can uniquely solve travel pain points. Build & Scale: Lead a world-class team of Applied Scientists and ML Engineers. Consumer Impact: Deeply understand consumer behavior to build models that feel like magic to the user. Cross-Pollination: Partner with Product and Engineering to ensure AI isn't a silo, but a horizontal layer that enhances every click on the ixigo, ConfirmTkt, and AbhiBus apps. Your DNA The Scientist-Builder: You have a PhD or Master's in CS/AI/Math, but you also have "calluses on your hands" from shipping real products. You know that a model is only as good as the problem it solves. LLM Native: You live and breathe Transformers. You understand the nuances of prompt engineering, fine-tuning, and the infrastructure required to serve large models at scale. The Scale Expert: You’ve handled datasets that would make a regular laptop melt. You are comfortable with distributed computing, MLOps, and optimizing models for mobile-first environments. Strategic & Witty: You can explain complex neural networks to a boardroom and the business value of a gradient descent to a developer—and you might even make a joke about it in the process. Technical Requirements 1. Foundation Models & Generative AI Deep expertise in traditional and foundational Machine learning techniques and models. Extensive experience with Deep learning architectures, fine-tuning, and efficient adaptation techniques. Proven ability to build autonomous agents capable of multi-step reasoning and tool-based execution. Expertise in building and deploying high-concurrency models at scale. Mastery of production-grade retrieval systems and vector database management. Experience with Vision-Language Models for automating document parsing and voice-interface models for vernacular language support. 2. Architecture & MLOps Experience with high-throughput, low-latency serving frameworks. Ability to architect AI-first microservices that handle hundreds of millions of requests monthly while managing compute costs. 3. Academic & Professional Pedigree Education: MS or PhD in Computer Science, AI, Mathematics, or a related quantitative field. Experience: 10+ years in technology, with at least 5+ years leading high-performance AI research or applied science teams in a fast-paced consumer tech environment. The "Builder" Portfolio: A portfolio of shipped products is preferred over a portfolio of just research papers. We value "Production-ready Research. Why ixigo? Impact at Scale: Your code will influence the travel decisions of 1 in every 3 Indians. Innovation Playground: Work with proprietary data from rail, air, and bus sectors that no one else has. Culture: We move fast, we experiment fearlessly, and we are obsessed with the "Next Billion Users." Additional Information Responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.

Responsibilities

The Director of Research will define the long-term AI roadmap, focusing on leveraging Agentic AI and Foundation Models to solve unique travel pain points for Indian travelers. This role involves leading a team of Applied Scientists and ML Engineers to build and scale consumer-impacting AI solutions across various travel booking platforms.