ML Ops Engineer

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

• Experienc...