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Tier-1 brand plus remote mid-level Data Scientist title increases applicant density despite GenAI specialization.
Specialized GenAI/LLM expertise is transferable across industries but requires strong ML background.
Explicit 5–8 years requirement, mandatory GenAI/LLM experience and specific tech stack make filters strict.
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Lead design, development, testing, and deployment of machine learning models focused on large language models (LLMs) and generative AI technologies.
Develop end-to-end AI/ML/NLP solutions including conversational AI, document understanding, and QnA, collaborating with research teams and key partners.
Analyze data to identify product insights, quantify value, and translate analytics into actionable recommendations for business or product improvements.
5 to 8 years of experience as Data Scientist or Generative AI specialist with 2 to 3 years in Generative AI solution development.
Proven technical expertise with open and closed-source LLMs (e.g., Llama, OpenAI GPT), prompt engineering, RAG, RAFT, and LLM fine-tuning (e.g., PEFT techniques).
Hands-on experience with GenAI frameworks like LlamaIndex, Langchain, Autogen, and cloud services (Azure, GCP, AWS).
Work Experience Required: 5 to 8 years in relevant roles.
Demonstrated ability to independently lead AI/ML projects and provide technical direction to teams.
Strong expertise in LLMs, NLP algorithms, and handling diverse NLP tasks with transformer-based models.
Experience turning complex AI/ML concepts into actionable designs and communicating insights effectively to various organizational levels.