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Tier-1 employer, popular Data Scientist title, mid-level experience band, and metro location increase candidate competition.
ML and LLM skills transfer broadly, but IP/patent domain knowledge moderately restricts fit.
Explicit 2–4 years requirement and specific LLM/ML toolset create strict technical filters.
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Design, develop, and deploy AI and analytics solutions focused on Intellectual Property (IP) intelligence to support technology scouting, trend analysis, and competitive insights.
Build scalable AI applications including LLM-powered solutions, AI agents, and automation frameworks using advanced technologies like RAG, Knowledge Graphs, and Agentic AI.
Collaborate with IP Intelligence experts to transform patent and scientific data into actionable strategic technology and innovation insights.
Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, or related field.
2-4 years of relevant professional experience in AI, ML, NLP, and data science.
Strong proficiency in Python and associated data science libraries (Pandas, Scikit-learn, Streamlit, SpaCy, NLTK, Hugging Face, Transformers, OpenAI).
On-site work location: Navi Mumbai, India.
Experienced in developing end-to-end AI and machine learning solutions, especially involving LLM integration and generative AI applications.
Comfortable working with modern AI tools and frameworks like LangChain, LangGraph, and cloud/deployment technologies such as Docker and Kubernetes.
Strong technical skillset combined with domain interest or experience in Intellectual Property, innovation intelligence, and technology scouting contexts.