RITM0385080-Sr. Data Scientist

Data Scientist Innovation Lab (Agentic AI )

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 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.

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: 6-10 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: Masters or PhD in Computer Science AI/ML Data Science or related field.

Secondary: Bachelors 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 5 days a week