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.
1) Qualifications
2) Business Development
3) Project Role
4) Company Role
5) Engineering Function
6) HSEQ Responsibilities
7) Behavioral Expectations
8) Competencies
Job Summary
Analyze brand positioning and consumer insights
• Shape and communicate our vision and mission
• Translate brand elements into plans and go-to-market strategies
• Lead creative development to motivate the target audience to "take action"
• Establish performance specifications, cost and price parameters, market applications and sales estimates
• Measure and report performance of all marketing campaigns, and assess ROl and KPIs
• Monitor market trends, research consumer markets and competitors' activities
• Oversee new and ongoing marketing and advertising activities
• Monitor product distribution and consumer reactions
• Devise innovative growth strategies
• Align the company around the brand's direction, choices and tactics
We are looking for a skilled Payroll Professional with a strong combination of technical payroll expertise and accounting fundamentals. The ideal candidate will have experience managing payroll across India, China, or broader APAC regions. Experience with USA or EMEA payroll is a plus.
Here's what we are looking for:
• Bachelor’s degree in Accounting, Finance, Business Administration, or related field.
• 3+ years of payroll experience in a corporate environment.
• Strong accounting knowledge, including: Payroll reconciliations, Journal entries, Month-end close support
• Practical experience with ADP & SOX
• Experience working within a SOX-controlled environment and understanding of internal controls.
• Knowledge of labor laws, social security regulations, and payroll tax compliance.
• Experience with NetSuite or similar cloud-based ERP systems.
• High attention to detail and strong organizational skills.
• Ability to handle sensitive and confidential information with integrity.