Description

You will build and manage data pipelines and machine learning workflows on AWS.

Responsibilities

• Develop and maintain data engineering pipelines within the AWS ecosystem.
• Implement machine learning development workflows using SageMaker.
• Build and manage automated CI/CD pipelines through scripting.
• Support the end-to-end lifecycle of data and ML models.

Required Skills

• 12-15 years of IT experience.
• Extensive experience with AWS services.
• Strong proficiency in CI/CD scripting.
• Experience in machine learning development.
• Background in data engineering.
• Degree in any field of study.

Key Skills

Education

Any Graduate