AWS ML engineer

Job Description

Primary Skill: SageMaker, Glue, S3, and Lambda

Responsibilities

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