AI/ML Expert- AWS

 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.