AWS ML Engineer

Primary Skills

AWS ML Engineer: SageMaker, Glue, S3, and Lambda

Design, build, and deploy ML models and pipelines on AWS

Responsibilities

• Develop end-to-end ML workflows using SageMaker, Glue, S3, and Lambda
• Build data preprocessing, training, inference, and monitoring pipelines
• Integrate ML models with applications using APIs and cloud services, optimize model performance, scalability, and cost on AWS infrastructure
• Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery