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Strong Tier-1 brand, metro Bangalore, mid-level title, and broad GenAI demand drive high competition.
Specialized LLM/GenAI skills are transferable across industries but require strong ML-focused backgrounds.
Explicit 5–8 years plus 2–3 years GenAI and mandatory LLM/tool skills enforce high shortlisting strictness.
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Lead design, development, testing, and deployment of advanced Machine Learning models focused on language and Generative AI technologies.
Translate complex business problems into AI/ML solutions, perform data analysis, and build models for NLP, computer vision, and statistical insights.
Collaborate with research and market partners to build end-to-end AI/ML/NLP solutions such as Conversational AI, document understanding, and QnA systems.
5 to 8 years of experience as Data Scientist or Generative AI specialist with 2 to 3 years in Generative AI solution development.
Proven experience with open-source and closed-source Large Language Models (LLMs) and related frameworks like Llama, OpenAI GPT, Langchain, LlamaIndex.
Proficiency in Python, R, Tensorflow, Keras, Pytorch, and experience with NLP libraries (SpaCy, NLTK etc.) and machine learning algorithms for supervised and unsupervised tasks.
Experience with cloud services such as Azure, GCP, or AWS. Work Experience Required: 5 to 8 years.
Expertise in Generative AI, large language models, and related technologies like RAG, Agents, Vector databases, and fine-tuning techniques.
Demonstrated ability to lead AI/ML projects independently, provide technical direction, and translate analytic insights into actionable business recommendations.
Experience working closely with product and engineering teams to communicate data-driven insights and build reusable modeling pipelines in domains like Mobility or Healthcare is a plus.