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Prompt Engineer
2 months ago
We are seeking a highly skilled and innovative Prompt Engineer to join our dynamic team. The ideal candidate will possess a strong ability to write complex logics in Python, Test prompts in scientific ways, and excel in prompt engineering. They should have a solid understanding of various models, large language models (LLMs), statistics, SQL queries, data operations, and basic Excel usage. Exceptional logic, deep diving abilities, a creative thought process, and excellent English and soft skills are essential for this role.
Key Responsibilities:
- Python Development: Write and maintain complex logics in Python to support various data analysis and machine learning projects.
- Prompt Testing: Design and conduct scientific tests to evaluate and improve the effectiveness of prompts in AI models.
- Prompt Engineering: Develop and refine prompts for optimal performance in various AI applications.
- Model Understanding: Understand the differences between various AI and machine learning models and their appropriate applications.
- LLM Knowledge: Have a basic understanding of how large language models (LLMs) work internally and apply this knowledge in relevant projects.
- Statistical Analysis: Apply statistical methods to analyse data and derive meaningful insights.
- SQL and Data Operations: Perform SQL queries and manage data operations to ensure data integrity and accessibility.
- Creative Problem Solving: Use creative thought processes to solve complex problems and develop innovative solutions.
- Logic Analysis: Deep dive into logical problems and provide detailed analysis and solutions.
- Communication Skills: Exhibit strong English communication skills, both written and verbal, and demonstrate excellent soft skills.
- Excel Usage: Utilise basic Excel functionalities for data analysis and reporting.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience in Python programming and developing complex logics.
- Knowledge of testing prompts scientifically and prompt engineering.
- Understanding of various AI and machine learning models and their applications.
- Basic understanding of the internal workings of large language models (LLMs).
- Solid understanding of statistics and its application in data analysis.
- Proficiency in SQL for data querying and data operations.
- Creative and analytical thinker with a problem-solving mindset.
- Excellent English communication skills and interpersonal abilities.
- Basic proficiency in Excel.
Preferred Skills:
- Experience with data visualisation tools and techniques.
- Knowledge of natural language processing (NLP) techniques.
- Experience in conducting and publishing research in relevant fields.