Artificial Intelligence & AWS-AI Trainer

Job Type:

Part-Time (Hourly Basis)

Job Summary:

Language Processing (NLP)

Key Responsibilities:

1. Training Delivery

 Design and deliver comprehensive training modules on:

o Introduction to AI (history, key concepts, applications, ethics).

o AWS AI Services (e.g., Amazon SageMaker, Comprehend, Recognition, Lex, Polly).

o Natural Language Processing (NLP) using AWS and open-source libraries.

o AI Search Techniques and Rule-Based Systems.

o Introduction to Generative AI (foundation models, prompt

engineering, LLMs on AWS).

 Conduct interactive lectures, hands-on labs, and assessments.

 Adapt training delivery to suit learners of varying technical backgrounds.

2. Hands-on Projects and Labs

 Guide learners through real-world projects using:

o AWS AI/ML tools (e.g., SageMaker, Bedrock, Amazon Kendra).

o NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).

o Search and rule-based AI techniques.

 Support practical implementation and debugging of projects

Required Qualifications:

Experience:

o AI and ML frameworks

o AWS cloud services

o NLP and Generative AI tools

 Certification in AWS (e.g., AWS Certified Machine Learning – Specialty) is a big plus.

Technical Skills:

 Proficient in Python and related libraries (NumPy, Pandas, scikit-learn, etc.)

 Strong understanding of NLP (tokenization, entity recognition, sentiment analysis)

rule-based systems

LLMs, prompt engineering,

AWS AI/ML stack

o Amazon SageMaker

o AWS Comprehend

o Amazon Lex and Polly

o AWS Bedrock (for generative AI)

Desirable:

 Prior experience in educational institutions or corporate training

 Contribution to open-source or AI research

 Knowledge of ethical AI, fairness, and bias mitigation techniques