Machine Learning Ops Engineer (Relocation to KSA)
About This Role
We’re working with a Silicon Valley–origin 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 you’ll 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 we’re 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
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