Senior MLOps Engineer | AWS SageMaker & FinServ

Halian | Managed Services, Recruitment and Contract Staffing Agency; Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

Job summary

Halian is hiring an MLOps Engineer in Abu Dhabi for a permanent, on-site role. The ideal candidate will have 7+ years of hands-on experience across MLOps, ML engineering, DevOps, cloud/platform engineering or production software engineering, with substantial responsibility for deploying and operating ML solutions in production.

The role requires strong AWS experience, particularly with Amazon SageMaker, and experience building production ML pipelines, CI/CD workflows, and IaC.

Qualifications

• 7+ years of hands-on experience in MLOps, ML engineering, DevOps, cloud/platform engineering or production software engineering with deployment and operation of ML in production.
• Strong hands-on AWS experience is required, especially with Amazon SageMaker and related services for storage, containers, orchestration, monitoring, identity and security.
• Proven experience building production-grade ML pipelines, CI/CD workflows, Infrastructure as Code, containerised deployments, monitoring and operational support.
• Experience with Dataiku is strongly preferred, particularly for platform integration, automation, deployment, administration or governed model lifecycle management.
• Experience in banking, financial services or another regulated environment is mandatory.

Skills

MLOps

ML engineering

DevOps

Cloud engineering

Platform engineering

Production software engineering

AWS/SageMaker

Tools

Dataiku

Amazon SageMaker

Job description

Halian is hiring an MLOps Engineer in Abu Dhabi for a permanent, on-site role. The ideal candidate will have 7+ years of hands-on experience across MLOps, ML engineering, DevOps, cloud/platform engineering or production software engineering, with substantial responsibility for deploying and operating ML solutions in production.

The role requires strong AWS experience, particularly with Amazon SageMaker, and experience building production ML pipelines, CI/CD workflows, and IaC.