IndiGo is India’s largest and most preferred passenger airline and amongst the fastest-growing airlines in the world.We have a simple philosophy: offer fares that are affordable, flights that are on time, and provide a courteous and hassle-free travel experience across our unparalleled network. We demonstrate that low cost does not mean low quality. With our fleet of 400+ aircraft, we operate well over 2,200 daily flights, connecting 130+ destinations (of which 40+ are international), welcoming 118 million+ customers on board last year. We have an industry-leading on-time performance and one of the highest customer NPS in the Indian spanet. At IndiGo, we will continue to extend our scope, by spreading our wings internationally, from a domestic carrier to a global aviation leader.
1. Job Title & Summary
Data Scientist – Innovation Lab (Agentic AI)Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions.
2. Key Responsibilities
- Design, develop, and deploy autonomous AI agents using Agentic AI frameworks.
- Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems.
- Fine-tune large language models (LLMs) for domain-specific airline use cases.
- Architect and implement GenAI solutions for operational and customer-facing applications.
- Conduct experiments and benchspaning for model performance and reliability.
- Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP).
- Publish findings, contribute to patents, and represent the lab in external forums and conferences.
3. Required Skills / Must-Have
- Technical Skills: Python, PyTorch/TensorFlow, LangChain, FastAPI, Azure ML or Vertex AI, Docker/Kubernetes.
- AI/ML Expertise: Autonomous agents, Agentic AI, LLM fine-tuning, GenAI pipelines.
- Protocols: MCP (Multi-agent Collaboration Protocol), A2A (Agent-to-Agent Communication).
- Cloud Platforms: Azure or GCP (hands-on experience).
- Experience: 4–7 years in applied AI/ML, preferably in innovation or R&D settings.
4. Nice-to-Have / Preferred Skills
- Experience with airline industry datasets or operational systems.
- Familiarity with Reinforcement Learning (RL) and multi-agent systems.
- Knowledge of MLOps practices and CI/CD for ML workflows.
- Contributions to open-source AI projects or publications in top-tier conferences.
5. Education & Qualifications
- Primary: Master’s or PhD in Computer Science, AI/ML, Data Science, or related field.
- Secondary: Bachelor’s in Engineering or Mathematics with strong AI/ML experience.
6. Certifications/Licenses
- Preferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate.
7. Skills Grouping & Synonyms
- AI/ML: “Autonomous agents / Agentic AI / multi-agent systems / GenAI / LLM fine-tuning”
- Cloud: “Azure ML / GCP Vertex AI / cloud-native ML / MLOps”
- Protocols: “MCP / multi-agent collaboration / A2A / agent communication”
- Development: “Python / FastAPI / LangChain / PyTorch / TensorFlow”
8. Location & Work Mode
Gurgaon – Work from office
Additional information
At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status.
IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., xxxgoindigo.in). Please report any fake job offer to eco.goindigo.in
At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solely on the basis of merit and qualifications, without regard to a candidate’s gender, race, color, religion, caste, creed, ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background’
