Senior Data Scientist

Role

Sr. Data Scientist Innovation Lab (Agentic AI)

Job description

Sr. 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.
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 benchmarking 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.

 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: 6-10 years in applied AI/ML, preferably in innovation or R&D settings.

 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.

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.

Certifications/Licenses

• Preferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate.
  

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”

Location & Work Mode Gurgaon – Work from office