AWS AI Expert

 Design and implement AI and machine learning solutions

using Azure AI services.
 Design and implement end-to-end machine learning
solutions using AWS services (SageMaker, Rekognition,
Comprehend, Lex, Polly, Textract, etc.)
 Build and optimize scalable data pipelines using AWS
Glue, Lambda, Step Functions, and S3.
 Deploy and manage machine learning models with MLOps

best practices using Amazon SageMaker Pipelines, Model
Monitor, and Model Registry.
 Collaborate with data scientists, data engineers, and
DevOps teams to operationalize ML models.
 Conduct performance tuning, A/B testing, and model
evaluation to ensure high accuracy and efficiency.
 Apply AI/ML to real-world problems across domains such
as NLP, computer vision, forecasting, or recommendation
systems.
 Monitor and troubleshoot production ML workloads for
reliability and scalability.
 Keep up with the latest trends and innovations in AWS
AI/ML services and propose improvements.

Requirements  Bachelor’s degree in business administration, Information

Technology, Healthcare
 Bachelor’s or Master’s degree in Computer Science, Data
Science, AI/ML, or related field.