Senior MLOps Engineer — AWS SageMaker & Platform Reliability

Digifloat; Abu Dhabi; On-site; AED 300,000 - 540,000; Full time

Job summary

Digifloat is seeking a highly skilled MLOps Engineer to design, build, and operate scalable ML platforms on AWS, focusing on production-grade deployment pipelines, governance, reliability, and observability.

You will work with Data Scientists, Platform Engineering, and Information Security to accelerate AI delivery while ensuring cost efficiency, regulatory compliance, and secure model lifecycle management.

Qualifications

• Bachelor's degree in CS/SE/IT or related field.
• 7+ years of experience in MLOps or related roles.
• Strong hands-on AWS and SageMaker experience.

Responsibilities

• Design and operate scalable MLOps architectures and deployment patterns.
• Build automated ML workflows covering data prep, training, validation, and deployment.
• Implement model registries, experiment tracking, and governance processes.
• Develop CI/CD pipelines and IaC solutions for ML platforms.
• Ensure monitoring, reliability, security, and cost efficiency.

Skills

MLOps

AWS

SageMaker

DevOps

Terraform

Kubernetes

CI/CD

Education

Bachelor's degree in CS/SE/IT

Master's degree preferred

Tools

Terraform

CloudFormation

Dataiku

Job description

Digifloat is seeking a highly skilled MLOps Engineer to design, build, and operate scalable ML platforms on AWS, focusing on production-grade deployment pipelines, governance, reliability, and observability.

You will work with Data Scientists, Platform Engineering, and Information Security to accelerate AI delivery while ensuring cost efficiency, regulatory compliance, and secure model lifecycle management.