Description

You will build and automate data and machine learning infrastructure on AWS.

Responsibilities

• Write reusable, modular code for data engineering and machine learning workflows.
• Automate infrastructure deployment using CloudFormation and Terraform.
• Implement MLOps practices using SageMaker pipelines and MLFlow.
• Manage and monitor cloud resources and data storage within the AWS ecosystem.

Required Skills

• 5+ years of experience in data or cloud engineering.
• Any Graduate degree.
• Expertise in AWS SageMaker and AWS Bedrock.
• Proficiency with AWS EC2, S3, and CloudWatch.
• Hands-on experience with AWS CloudFormation.
• Strong automation skills using Terraform.
• Practical knowledge of MLOps tools including MLFlow and SageMaker pipelines.
• Ability to develop modular, reusable code for ML and data tasks.

Key Skills

Education

Any Graduate