Senior NLP Data Scientist

Senior NLP Data Scientist

2 Nos.
76491
Full Time
3.0 Year(s) To 4.0 Year(s)
30.00 LPA TO 35.00 LPA
IT Software - Client Server
IT-Software/Software Services
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 Master’s 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.
  • Strong communication and collaboration skills.

 

 

 

Company Profile

internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the Group generated annual revenue totaling 8.8 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets

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