Job description 

We are looking for 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.

Years of experience needed –

 3-4 years of experience in large language models (LLM) and classic NLP techniques.

Technical Skills:

 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.

 Generative AI minimum 1year hands on experience.

 LLM, Langchain, FastAPI, Agents in LLM, OpenAI API.

 LLM finetuning either open source or GPT.

 Hands-on experience with text data wrangling.

 In-depth knowledge of LLMs and their limitations.

 Experience/familiarity with Lang Chain and similar tools.

 OOP and Python coding proficiency.

 Strong communication and collaboration skills.

 Result oriented team player.

 Good in communication

 Interpersonal skills

 Result oriented team player.

 Good in communication

 Interpersonal skills

Certifications Needed:

 Minimum Master’s degree in data science, computer science or related field.