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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, metro Lead Data Scientist with broad skills and attractive title yields medium competition.
Specialized GenAI, LLM, and vector DB expertise makes background fit highly domain-sensitive.
Multiple mandatory GenAI, LLM, cloud, and backend requirements make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of production-ready Generative AI solutions using large language models, advanced RAG pipelines, and agentic workflows.
Develop autonomous multi-agent systems and build semantic search systems leveraging vector databases and LangChain/LlamaIndex frameworks.
Deploy, manage, and scale machine learning and AI workloads on enterprise cloud platforms, and build robust backend microservices using Python FastAPI.
Minimum Requirements
5+ years of relevant hands-on experience in Machine Learning and Data Science.
Educational Qualification: BE, B.Tech, MCA, or M.Sc degree holders only.
Proficiency with LLMs, Generative AI (ChatGPT, LLaMA 2, GANs, VAEs), NLP, transformer models, LangChain, Agentic AI concepts, Python FastAPI, and cloud deployment on AWS/Azure/GCP.
Notice Period: Immediate joiners preferred or candidates actively serving notice period.
Ideal Candidate Profile
Experienced in architecting end-to-end AI systems with hands-on use of advanced models and retrieval-augmented generation.
Skilled in building scalable AI backend infrastructures and deploying models in production in cloud environments.
Capable of leading complex AI projects that incorporate multi-agent and agentic AI workflows in a Bangalore-based, onsite setting.