Staff Machine Learning Systems Engineer (MLOps)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Machine Learning Systems Engineer (MLOps) based in the United States.

This is a high-impact infrastructure role focused on building and operating the production systems that power large-scale AI and ML services. You will define how machine learning workloads are deployed, observed, secured, and scaled across cloud-native environments. The role sits at the intersection of platform engineering, DevOps, and applied AI, ensuring that every AI product can be shipped safely and reliably. You will design the underlying Kubernetes-based infrastructure, CI/CD pipelines, and model-serving systems that support mission-critical workloads. Working closely with ML engineers, product teams, and security stakeholders, you will help translate experimental AI capabilities into production-grade systems. This is a hands-on senior technical role for someone who thrives in complex, high-scale, and fast-evolving environments.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Machine Learning Systems Engineer (MLOps) based in the United States.

This is a high-impact infrastructure role focused on building and operating the production systems that power large-scale AI and ML services. You will define how machine learning workloads are deployed, observed, secured, and scaled across cloud-native environments. The role sits at the intersection of platform engineering, DevOps, and applied AI, ensuring that every AI product can be shipped safely and reliably. You will design the underlying Kubernetes-based infrastructure, CI/CD pipelines, and model-serving systems that support mission-critical workloads. Working closely with ML engineers, product teams, and security stakeholders, you will help translate experimental AI capabilities into production-grade systems. This is a hands-on senior technical role for someone who thrives in complex, high-scale, and fast-evolving environments.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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