5.0 - 10.0 years

5 - 15 Lacs

Bengaluru, Karnataka, India

On-site

About You PhD in a relevant discipline or masters plus a comparable level of experience, 5+ years of hands-on experience building NLP / IR systems / Document Processing Systems for commercial applications, Experience writing production code and ensuring we'll-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and leading through others, in an applied research setting, Outstanding communication, problem-solving, and analysis skills, Collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback, Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred) Innovate: Develop new skills and capabilities for Document AI, focusing on areas such as document classification, data extraction, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models. Build & Experiment: Design, test, and deploy state-of-the-art models that expand Document AI ability to address complex, real-world tasks. Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions. Mentor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration. Communicate: Publish findings at top-tier conferences (eg, NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive.

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