Trainer for LLM developers

Job Title: LLM Developer Trainer

Job Description:

We are seeking an experienced and dynamic LLM Developer Trainer to join our team. The ideal candidate should have a strong background in Large Language Models (LLMs), natural language processing (NLP), and cloud-native full-stack application development. The primary responsibility is to design and deliver comprehensive training programs for LLM developers, ensuring they acquire the skills needed to optimize, fine-tune, and integrate LLMs effectively into various applications.

Planned LLM Developer Training curriculum (10 weeks):

This training program spans ten weeks, focusing on various aspects of Large Language Model (LLM) development. In the initial weeks, participants receive an introduction and overview of LLMs, including courses on AI fundamentals by Andrew Ng and deep learning with PyTorch. Subsequent weeks delve into system design and integration with courses on Google Cloud Platform and full-stack web development. Data management and adaptation techniques are covered in weeks five and six, utilizing courses on data science and machine learning. The training addresses prompt formulation and collaboration in weeks seven and eight, featuring courses on natural language processing and data science by esteemed institutions. The final weeks concentrate on performance evaluation, including a course on machine learning evaluation using Google Cloud Platform. Participants are encouraged to verify course content and availability as platforms may update their offerings.

Responsibilities:

1. Curriculum Development: Design, develop, and update training modules for LLM developers, covering key areas such as optimization, fine-tuning, system design, data management, adaptation techniques, prompt formulation, and collaboration.
   
2. Training Delivery:Conduct engaging and informative training sessions, workshops, and hands-on exercises for LLM developers.
   Adapt training content based on the evolving landscape of LLMs and industry best practices.
   
3. Practical Application:Provide real-world examples and case studies to reinforce theoretical concepts.
   Guide participants through practical exercises, ensuring they gain hands-on experience in LLM development and integration.
   
4. Feedback and Evaluation:Implement effective assessment methods to evaluate participants' understanding and skill acquisition.
   Collect and analyze feedback to continuously improve training programs.
   
5. Stay Updated:Stay abreast of the latest developments in LLMs, NLP, and related technologies.
   Continuously update training materials to reflect industry advancements.
   
6. Collaboration:Collaborate with subject matter experts, industry professionals, and cross-functional teams to enhance the training curriculum and address specific domain requirements.
   

Requirements:

• Proven experience as a trainer in the field of Large Language Models, Natural Language Processing, and cloud-native full-stack application development.
• Strong expertise in Python, Node, C#, Angular.JS, React.JS, and other relevant programming languages and frameworks.
• In-depth knowledge of LLMs, NLP, and conversational AI.
• Experience with cloud computing platforms, especially in the context of LLM integration.
• Excellent communication and presentation skills.
• Ability to adapt training content to meet the needs of diverse learners.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Certifications in relevant technologies and platforms would be a plus.