Ace Resource Advisory Services Sdn Bhd

2023-09-22
Malaysia/ Full Time

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AI Prompt Engineer

Position Overview: We are seeking a skilled and passionate AI Prompt Engineer to work closely with our AI development team. The AI Prompt Engineer will play a crucial role in shaping and improving the capabilities of our AI models by designing and fine-tuning prompts, ensuring they generate high-quality and contextually relevant responses.

Key Responsibilities:

Prompt Generation: Create and optimize prompts for various AI models, including GPT-3.5, to achieve specific tasks and generate desired outputs.
Data Analysis: Analyze and evaluate the effectiveness of prompts, iterating and improving them based on performance metrics and user feedback.
ChatGPT Expertise: Possess a comprehensive knowledge of ChatGPT, including its architecture, limitations, and best practices for prompt engineering.
Collaboration: Collaborate with machine learning engineers, data scientists, and product managers to define prompt strategies that align with project objectives.
Experimentation: Conduct A/B testing and experimentation to refine prompts and improve the AI model's performance.
Natural Language Understanding: Develop a deep understanding of natural language processing techniques and stay updated on the latest advancements in the field.
Documentation: Create and maintain documentation on prompt engineering best practices and guidelines.

Qualifications & Skills Required:

Bachelor's or Master's degree in Computer Science, Natural Language Processing, or related field.
Proven experience in working with AI models, particularly GPT-3.5 or similar models.
Experience with implementing machine learning models and data science techniques using Python and R
Experience deploying ML using Docker or Docker Compose
Experience with designing, building, and executing statistical models and developing ML algorithms
Experience with analyzing structured and unstructured data sources
Ability to design and develop AI prompts, including ChatGPT, using large language models to accelerate coding abilities
Ability to tune large language models for specific applications
Ability to use Lang Chains in Python
Ability to work with full-stack software development, including database design, middleware development, and frontend development
Ability to obtain a security clearance
Understanding of machine learning concepts and NLP algorithms.
Ability to analyze data and generate insights to improve model performance
Excellent problem-solving skills and attention to detail
Strong communication skills and the ability to work collaboratively in a cross-functional team.
Knowledge of AI ethics and responsible AI practices is a plus