SageMaker Platform Engineer

Key Responsibilities

• Design, implement, and manage AWS SageMaker environments.
• Support Machine Learning workflows, including model training, deployment, and monitoring.
• Collaborate with data scientists and engineers to optimize ML pipelines.
• Ensure platform scalability, security, and performance.
• Troubleshoot and resolve platform-related issues.

Required Skills & Experience

• AWS Expertise: Deep knowledge of AWS services, particularly SageMaker.
• SageMaker Studio Classic: 4–5 years of hands-on experience.
• Uniform Studio: Exposure preferred
• Strong background in Machine Learning concepts and workflows.
• Ability to set up and configure SageMaker platforms.

Interview Focus

• AWS services and SageMaker expertise.
• Hands-on platform setup and troubleshooting.