ML Ops Engineer

Riyadh - Saudi Arabia

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Were working with a Silicon Valleyorigin AI company focused on taking AI out of notebooks and into production.

This role sits at the intersection of machine learning infrastructure and reliability.

The team is responsible for making sure AI systems are deployable observable scalable and cost-efficient across cloud and hybrid environments.

If you enjoy turning models into real reliable systems this role is built for that.

What youll do

Deploy and operate ML models in production environments
Build and maintain CI/CD pipelines for ML workloads
Manage model serving monitoring logging and alerting
Work with backend and platform teams to productionize AI systems
Improve reliability performance and cost efficiency of AI deployments

What were looking for

Experience as an MLOps Engineer ML Engineer or Platform Engineer
Strong understanding of Kubernetes containers and cloud infrastructure
Experience with model deployment serving and monitoring
Familiarity with CI/CD infrastructure-as-code and automation
Comfortable owning production systems end-to-end

Nice to have

Experience with on-prem or hybrid AI deployments
Familiarity with model optimization inference performance or GPU workloads
Experience working with large-scale AI or data platforms

Were working with a Silicon Valleyorigin AI company focused on taking AI out of notebooks and into production. This role sits at the intersection of machine learning infrastructure and reliability. The team is responsible for making sure AI systems are deployable observable scalable and cost-efficie...