Senior MLOps Engineer - SRE | DevOps

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior MLOps Engineer - SRE | DevOps based in Brazil.

This role sits at the core of a modern AI/ML platform, responsible for ensuring that machine learning and LLM systems run reliably, efficiently, and at scale in production environments.
You will operate at the intersection of infrastructure, DevOps, and machine learning, owning the lifecycle from model deployment to production-grade inference services.
The position involves solving complex engineering challenges such as latency optimization, autoscaling, cost efficiency, and reliability of AI workloads.
You will help define how ML systems are built and operated, introducing strong SRE practices to environments that demand high availability and performance.
A key part of your work will involve designing scalable, automated, and observable ML pipelines and infrastructure on cloud-native platforms.
This is a high-impact role for a senior engineer who thrives in deep technical ownership and wants to shape the future of AI infrastructure.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior MLOps Engineer - SRE | DevOps based in Brazil.

This role sits at the core of a modern AI/ML platform, responsible for ensuring that machine learning and LLM systems run reliably, efficiently, and at scale in production environments.
You will operate at the intersection of infrastructure, DevOps, and machine learning, owning the lifecycle from model deployment to production-grade inference services.
The position involves solving complex engineering challenges such as latency optimization, autoscaling, cost efficiency, and reliability of AI workloads.
You will help define how ML systems are built and operated, introducing strong SRE practices to environments that demand high availability and performance.
A key part of your work will involve designing scalable, automated, and observable ML pipelines and infrastructure on cloud-native platforms.
This is a high-impact role for a senior engineer who thrives in deep technical ownership and wants to shape the future of AI infrastructure.

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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