AWS Cloud and MLOps Engineer - Build Scalable ML Platforms

EXL Talent Acquisition Team; United States; On-site; USD 60,000 - 99,000; Full time

Job summary

EXL is seeking an hands-on AWS Cloud & MLOps Engineer to design, build, deploy, and maintain scalable cloud-based data and document-processing pipelines in the United States. This role will stand up the AWS ML platform (Bedrock, SageMaker, QuickSight) that runs production models and will collaborate with cross-functional teams to deliver highly available AWS solutions for healthcare payment operations.

The Base Pay Range is $60,100 - $98,700, reflecting seniority and market norms.

Qualifications

• Hands-on cloud engineer with AWS focus.
• Experience building scalable data/document pipelines.
• Familiarity with AWS ML platform components (Bedrock, SageMaker, QuickSight).
• Collaborates with cross-functional teams to deliver reliable cloud solutions.

Responsibilities

• Design, develop, deploy, and maintain scalable cloud-based data/document pipelines.
• Stand up and manage the AWS ML platform (Bedrock, SageMaker, QuickSight) for production models.
• Collaborate with application, DevOps, data, and infrastructure teams to ensure high availability.

Skills

AWS

Cloud engineering

MLOps

SageMaker

Bedrock

Data pipelines

Tools

SageMaker

Bedrock

QuickSight

Job description

EXL is seeking an hands-on AWS Cloud & MLOps Engineer to design, build, deploy, and maintain scalable cloud-based data and document-processing pipelines in the United States. This role will stand up the AWS ML platform (Bedrock, SageMaker, QuickSight) that runs production models and will collaborate with cross-functional teams to deliver highly available AWS solutions for healthcare payment operations.

The Base Pay Range is $60,100 - $98,700, reflecting seniority and market norms.