Data Scientist

Overview

About the job:

Key responsibilities:

1 - Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions.
2 - Design, develop, and deploy autonomous AI agents using Agentic AI frameworks.
3 - Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems.
4 - Fine-tune large language models (LLMs) for domain-specific airline use cases.
5 - Architect and implement GenAI solutions for operational and customer-facing applications.
6 - Conduct experiments and benchmarking for model performance and reliability.
7 - Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP).
8 - Publish findings, contribute to patents, and represent the lab in external forums and conferences.

Who can apply:

Only those candidates can apply who:

1. have minimum 3 years of experience
2. are Computer Science Engineering students

Salary:

Competitive salary

Experience:

3 year(s)

Deadline:

2025-11-19 23:59:59

Skills required:

Python and PyTorch

Other Requirements:

1 - Experience with airline industry datasets or operational systems.

2 - Familiarity with Reinforcement Learning (RL) and multi-agent systems.

3 - Knowledge of MLOps practices and CI/CD for ML workflows.

4 - Contributions to open-source AI projects or publications in top-tier conferences.

5 - Bachelor’s in Engineering or Mathematics (required); Master’s or PhD preferred.

6 - Preferred certifications: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate.

About Company:

IndiGo began operations in India on August 4, 2006, and is headquartered in Gurgaon, Haryana. In 2025, it reported revenue of about $202.5 billion and employed over 2,000 people. The airline operates 410 aircraft and runs more than 2,100 daily flights, connecting over 120 destinations, including 34 international ones, and serving more than 100 million customers. Recent developments include orders for Airbus A350-900 wide-body aircraft, the launch of business class on A321neo planes, and efforts to manage challenges linked to regional tensions and disruptions following an Air India crash.