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Tier-1 brand, popular mid-level Data Scientist title, metro location, and mid experience band increase applicant competition.
Specialized GenAI and LLM skills increase domain specificity but remain moderately transferable across industries.
Explicit 5–8 years plus 2–3 years GenAI and extensive mandatory tech stack make shortlisting highly strict.
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Lead design, development, testing, and deployment of machine learning models with a focus on large language models (LLMs) and generative AI technologies.
Translate business problems into actionable AI/ML/NLP solutions including conversational AI and document understanding, collaborating with research teams and partners.
Build, improve, and maintain reusable tools, modeling pipelines, and communicate analytic insights to drive product and business improvements.
5 to 8 years of experience as a Data Scientist or Generative AI specialist.
2 to 3 years of experience specifically in Generative AI solution development using LLM frameworks like LlamaIndex, Langchain, Autogen.
Proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch), knowledge of LLMs, RAG, Agents, Vector databases, and cloud platforms (Azure, GCP, AWS).
Bachelor's or Master's degree in BE, BTech, MCA, or PhD in related fields.
Demonstrated ability to independently handle AI/ML projects and lead technical teams while providing strategic direction.
Experience with advanced NLP tasks and fine-tuning large language models (PEFT, LoRA, QLoRA).
Domain experience in Mobility or Healthcare is a plus but not mandatory.