Senior NLP Data Scientist (Bengaluru)

Job Description: Senior NLP Data Scientist Job Summary: Client is seeking a highly skilled and experienced Senior NLP data scientist with expertise in large language models (LLM) and prompt engineering techniques. The ideal candidate will have a minimum of 3-4 years of experience in classic NLP techniques and LLMs, as well as at least 1 year of experience in prompt engineering. The candidate should be well-versed in methods of building domain-specific LLM usecases, fine-tuning LLMs, various relevant python libraries, and keeping up-to-date with the advances in the field of LLMs. Key Responsibilities: - Lead research activities and collaborate with extended R&D; team to build LLM-powered usecases. - Conduct rigorous performance evaluation of the responses from LLM-powered applications. - Utilize prompt/instruction tuning techniques to improve the performance of LLMs. - Utilize one-shot/few-shot learning techniques to enhance the capabilities of LLMs. - Conduct LLM literature analysis to stay up-to-date with the latest advancements in the field. Qualifications: - Minimum Masters degree in data science, computer science or related field. - 3-4 years of experience in large language models (LLM) and classic NLP techniques. - At least 1 year of experience in prompt engineering. - Hands-on experience with text data wrangling. - In-depth knowledge of LLMs and their limitations. - Experience/familiarity with LangChain and similar tools. - OOP and Python coding proficiency. - Solid communication and collaboration skills. Job Description: Senior NLP Data Scientist Job Summary: Client is seeking a highly skilled and experienced Senior NLP data scientist with expertise in large language models (LLM) and prompt engineering techniques. The ideal candidate will have a minimum of 3-4 years of experience in classic NLP techniques and LLMs, as well as at least 1 year of experience in prompt engineering. The candidate should be well-versed in methods of building domain-specific LLM usecases, fine-tuning LLMs, various relevant python libraries, and keeping up-to-date with the advances in the field of LLMs. Key Responsibilities: - Lead research activities and collaborate with extended R&D; team to build LLM-powered usecases. - Conduct rigorous performance evaluation of the responses from LLM-powered applications. - Utilize prompt/instruction tuning techniques to improve the performance of LLMs. - Utilize one-shot/few-shot learning techniques to enhance the capabilities of LLMs. - Conduct LLM literature analysis to stay up-to-date with the latest advancements in the field. Qualifications: - Minimum Masters degree in data science, computer science or related field. - 3-4 years of experience in large language models (LLM) and classic NLP techniques. - At least 1 year of experience in prompt engineering. - Hands-on experience with text data wrangling. - In-depth knowledge of LLMs and their limitations. - Experience/familiarity with LangChain and similar tools. - OOP and Python coding proficiency. - Solid communication and collaboration skills.