- Develop and optimize high-quality prompts for NLP applications.
- 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 different departments, 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.
- Document and communicate research findings, methodologies, and technical specifications to team members and stakeholders.
- Prompt Engineering - 3 Years
- Generative AI - 1 Years
- Should have minimum 1 year of experience in stakeholder management
- 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.
- Strong problem-solving and analytical skills.
- 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.
TBD