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Prompt Engineer - Gandhinagar - Project


ConveGenius


Location

Gandhinagar | India


Job description

About ConveGenius:

ConveGenius Digital is a leading Conversational AI company that is democratizing educational and knowledge services for the mass market. Their knowledge bots have 35M users today across 10 languages and 16 states in India. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code are the must-have attributes for this job.

Responsibilities

The Prompt Engineer will play a crucial role in enhancing our conversational AI systems by developing and fine-tuning Natural Language Processing (NLP) models. This position involves data collection, model training, performance monitoring, and collaboration with software developers to integrate NLP components into various applications.

Responsibilities:

  • Natural Language Processing (NLP): Develop and fine-tune NLP models to enhance the performance of conversational AI systems.
  • Data Collection and Annotation: Collect and curate datasets for NLP model training and evaluation. Annotate data to create high-quality training sets that improve model accuracy.
  • Model Training: Train, test, and optimise NLP models for various applications, including chatbots, virtual assistants, and automated customer support.
  • Performance Monitoring: Continuously monitor the performance of NLP models.

Identify areas for improvement and make necessary adjustments to enhance accuracy and response times.

  • Integration: Collaborate with software developers to seamlessly integrate NLP components into applications and systems.

Qualifications:

  • B.E./ B.Tech/ MCA/MSc/M.E./M.Tech/MBA in IT/CE/CS or relevant Field
  • Total 5 years of experience required with Bachelor's Degree OR Total 3 years of experience required with Master's degree
  • Proficiency in programming languages commonly used in NLP, such as Python.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.


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