IndiGo - Data Scientist - Agentic AI
2 days ago
Description :Job Summary : 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 : 2 to 5 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 : Bachelors in Engineering or Mathematics with strong AI/ML experience.- Secondary : Masters or PhD in Computer Science, AI/ML, Data Science, or related field.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. (ref:hirist.tech)
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