AI/ML Expert- AWS

6+ Years Experience

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.