AWS ML Engineer

About

Responsibilities

• Design, build, and deploy ML models and pipelines on AWS
• Develop end to end ML workflows using Sage Maker, 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

Required Skill Sets

• AWS
• ML
• Sage Maker
• Glue
• S3
• Lambda
• Cloud Services