Senior MLOps Engineer

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 based in Brazil.

This is a high-impact platform engineering role focused on building and scaling the foundational infrastructure that powers machine learning and AI across a global product ecosystem.
You will work at the intersection of DevOps, data engineering, and machine learning, enabling teams to deploy and operate AI models at scale with reliability and speed.
The role involves designing cloud-native platforms that support the full ML lifecycle, from experimentation to production-grade deployment.
You will contribute to building self-service tools and abstractions that empower data scientists and engineers to work autonomously and efficiently.
A strong focus is placed on scalability, automation, and standardizing best practices for ML and LLM workflows across the organization.
You will collaborate closely with infrastructure, data, and product teams to ensure seamless integration of ML systems into broader data and governance frameworks.
This position is ideal for engineers who enjoy solving complex platform challenges and enabling large-scale AI innovation.

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 based in Brazil.

This is a high-impact platform engineering role focused on building and scaling the foundational infrastructure that powers machine learning and AI across a global product ecosystem.
You will work at the intersection of DevOps, data engineering, and machine learning, enabling teams to deploy and operate AI models at scale with reliability and speed.
The role involves designing cloud-native platforms that support the full ML lifecycle, from experimentation to production-grade deployment.
You will contribute to building self-service tools and abstractions that empower data scientists and engineers to work autonomously and efficiently.
A strong focus is placed on scalability, automation, and standardizing best practices for ML and LLM workflows across the organization.
You will collaborate closely with infrastructure, data, and product teams to ensure seamless integration of ML systems into broader data and governance frameworks.
This position is ideal for engineers who enjoy solving complex platform challenges and enabling large-scale AI innovation.

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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