Prompt Engineer

HARMAN India

Job Summary:

We are looking for a highly skilled and experienced Prompt Engineering Specialist with expertise in large language models (LLM) and natural language processing techniques. The ideal candidate will have a minimum of 2-4 years of experience in LLM and NLP techniques, as well as at least 1-2 years of experience in ChatGPT/OpenAI/Text Generative models. The candidate should be well-versed in prompt/instruction tuning, one-shot/few-shot learning, LLM literature analysis, and intermediate-level Python programming.

Key Responsibilities:

  • Collaborate with the research team to develop and optimize large language models (LLM) for natural language processing tasks.
  • Develop and optimize ChatGPT/OpenAI/Text Generative models for conversational AI systems.
  • 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.
  • Develop and maintain code for LLM development and optimization using intermediate-level Python programming.
  • Hands-on experience with text data wrangling
  • Knowledge of LLMs and their limitations
  • OOP and Python coding proficiency
  • Hands-on experience with NLP Experience/familiarity with nltk/LangChain
  • Experience with prompt engineering

Qualifications:

  • Bachelor’s/Masters degree in computer science or related field.
  • 2-4 years of experience in large language models (LLM) and NLP techniques.
  • At least 1-2 years of experience in ChatGPT/OpenAI/Text Generative models.
  • Experience in prompt/instruction tuning and one-shot/few-shot learning.
  • Experience with LLM literature analysis and staying up-to-date with the latest advancements in the field.
  • Intermediate-level Python programming skills.
  • Strong communication and collaboration skills.
  • Attention to detail and ability to troubleshoot and debug code.

To apply for this job please visit in.linkedin.com.

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