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Tier-1 brand, remote role, mid-level title, metro location and broad GenAI requirements drive high competition.
Strong LLM and deep learning focus makes skills moderately transferable across industries.
Explicit 5–8 years, mandatory GenAI/LLM experience and tech stack make screening highly strict.
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Design, develop, test, and deploy advanced Machine Learning models with a focus on language models and Generative AI technologies.
Lead AI/ML project execution independently, providing technical direction to team members and translating business problems into AI/ML solutions.
Build end-to-end AI/ML/NLP solutions involving Conversational AI, document understanding, and QnA, interacting with research teams and market partners.
5 to 8 years of experience as a Data Scientist or Generative AI specialist with 2 to 3 years in Generative AI solution development.
Strong hands-on experience with LLMs (both open and closed source), Generative AI frameworks (LlamaIndex, Langchain, Autogen), and associated technologies like RAG, Agents, VectorDB, Guardrails.
Proficiency in Python, R, Tensorflow, Keras, Pytorch, and NLP toolkits with solid knowledge of NLP algorithms and statistical methods.
Mandatory educational qualification: BE, BTech, MCA, or PhD.
Experienced in independently handling AI/ML projects and capable of guiding team members technically with leadership in project delivery.
Demonstrated expertise in Generative AI, language model fine-tuning, and innovative AI/ML solution design aligned with business needs.
Ability to communicate AI/ML insights effectively across organizational levels and translate analytics into actionable product improvements.