Prompt Engineer - GEN AI at Prodapt

Posted on (a month ago)

Chennai, India
On-site

Industry: Media and Telecommunications

Job Type: Full-time

Experience Level: Entry Level

Job Description

The overall purpose of the GenAI Prompt Engineer position is to develop and optimize high-quality prompts for NLP applications. Collaborate with data scientists, machine learning engineers, and software developers to understand requirements and design effective prompt generation solutions.

Responsibilities

  • Conduct research and analyze state-of-the-art AI techniques to improve prompt generation models and algorithms.
  • Implement and deploy AI models and algorithms in production environments, ensuring scalability, reliability, and performance.
  • Collaborate with cross-functional teams to integrate prompt generation capabilities into existing NLP applications.
  • Conduct experiments, analyze data, and provide insights to improve the performance and effectiveness of prompt generation models.
  • Stay up-to-date with the latest advancements in AI and NLP research and apply relevant techniques to enhance prompt generation capabilities.
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications.
  • Troubleshoot and debug issues related to prompt generation models and algorithms.
  • Document and communicate research findings, methodologies, and technical specifications to team members and stakeholders.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Master's or Ph.D. degree in AI, NLP, or a related field is preferred.
  • Proven experience in AI and NLP, preferably in prompt generation or related areas.
  • Strong programming skills in languages such as Python or Java.
  • Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of software development methodologies and best practices.
  • Experience with version control systems such as Git.
  • Strong problem-solving and analytical skills, with the ability to think critically and creatively.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team, with a strong sense of responsibility and accountability.
  • Strong proficiency in AI and NLP techniques, including deep learning, neural networks, and natural language processing.
  • Solid understanding of machine learning algorithms and their applications in NLP.
  • Proficiency in data analysis, statistical modeling, and experimental design.
  • Familiarity with prompt generation techniques and algorithms.
  • Ability to work collaboratively in a team environment.
  • Excellent communication and presentation skills.
  • Ability to multitask and prioritize workload effectively.
  • Strong attention to detail and a commitment to producing high-quality work.
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