Prompt Engineer

Raizon Consulting Sdn. Bhd; Malaysia; Sur place; MYR 60 000 - 80 000; Plein temps

Résumé du poste

A consulting firm in Malaysia is seeking a Prompt Engineer to enhance AI capabilities in diverse applications. The ideal candidate will have a graduate degree in a relevant field and at least 2 years of experience with AI models, alongside a solid understanding of NLP. Responsibilities include developing prompt strategies, analyzing AI performance, and collaborating with various stakeholders. Join a dynamic team passionate about leveraging AI technologies.

Qualifications

• Minimum 2 years' experience with AI models or NLP.
• Experience in optimizing or configuring software systems.
• Experience working in cross-functional tech teams.

Responsabilités

• Design, test, and refine prompts for AI applications.
• Work with AI researchers and designers to develop strategies.
• Analyze performance of prompts and suggest improvements.
• Maintain records of prompt performance for future reference.
• Stay updated on AI and cloud technology developments.

Connaissances

Natural language processing (NLP)

Programming languages (Python, JavaScript)

AI platforms (TensorFlow, PyTorch, Hugging Face)

Cloud technologies (AWS, Google Cloud)

Data analysis

Formation

Graduate degree in Computer Science, IT, Data Science or related field

Description du poste

We are looking for highly motivated and savvy Prompt Engineer to grow capabilities and expand our Consulting practice in Malaysia and APAC. Candidates who aspire to be data professionals and have attained a Graduate degree in Computer Science, Information Technology, Data Science or other related field should apply to join our growing team of experts.

Prompt engineers are pivotal in bridging the gap between AI capabilities and practical applications, making them essential for maximizing the utility and usability of AI technologies.

RESPONSIBILITIES

1. Prompt Development:
   • Design, test, and refine prompts to optimize AI output for various applications.
   • Continuously improve prompt strategies based on model updates and project feedback.
2. Collaboration:
   • Work closely with AI researchers, developers, and UX/UI designers to align prompt strategies with project objectives.
   • Engage with stakeholders to understand their needs and incorporate feedback into prompt development.
3. Data Analysis and Reporting:
   • Analyse the performance of prompts using analytics tools and user data.
   • Report findings and suggest improvements to enhance AI responses.
4. Documentation:
   • Maintain detailed records of prompt variations, performance outcomes, and iterations for future reference.
   • Create comprehensive reports and presentations for internal and external stakeholders.
5. Stay Informed:
   • Keep up with the latest developments in AI and cloud technologies to incorporate best practices into prompt engineering.

TECHNICAL SKILL SET

1. Strong understanding of natural language processing (NLP) and machine learning concepts.
2. Proficiency in programming languages such as Python, JavaScript, or similar.
3. Experience with AI platforms and tools such as TensorFlow, PyTorch, or Hugging Face.
4. Familiarity with cloud technologies like AWS, Google Cloud Platform, or Microsoft Azure.
5. Ability to analyse and interpret data related to AI model performance.

SOFT SKILL SET

1. Excellent problem-solving skills with a creative approach to challenge-solving.
2. Strong communication skills, both written and verbal, with the ability to present complex information clearly.
3. Ability to work collaboratively in a team setting, with interpersonal skills to liaise with various departments.
4. Strong organizational skills and attention to detail.
5. Adaptability and eagerness to learn in a rapidly evolving technological landscape.

WORK EXPERIENCE

1. At least 2 years of experience working with AI models, NLP, or similar technologies.
2. Proven experience in a role that involved optimizing or configuring software systems for increased performance.
3. Experience in collaborating with cross-functional teams, preferably in a tech environment.