Staff Machine Learning Operations Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Machine Learning Operations Engineer in Brazil.

In this senior, highly impactful engineering role, you will help design and scale the infrastructure that powers machine learning systems in production for a global, fast-growing technology environment. You will work at the intersection of DevOps, data engineering, and applied ML, enabling teams to deploy and operate models reliably and efficiently at scale. The role focuses on building robust MLOps platforms, improving automation across the ML lifecycle, and ensuring performance, observability, and cost efficiency in production systems. You will collaborate closely with data scientists, software engineers, and product teams to translate model requirements into scalable infrastructure. This is a hands-on technical leadership position with strong influence over architecture and engineering standards. You will also mentor engineers while driving best practices in CI/CD, cloud infrastructure, and ML deployment. The environment is remote-first, highly collaborative, and innovation-driven.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Machine Learning Operations Engineer in Brazil.

In this senior, highly impactful engineering role, you will help design and scale the infrastructure that powers machine learning systems in production for a global, fast-growing technology environment. You will work at the intersection of DevOps, data engineering, and applied ML, enabling teams to deploy and operate models reliably and efficiently at scale. The role focuses on building robust MLOps platforms, improving automation across the ML lifecycle, and ensuring performance, observability, and cost efficiency in production systems. You will collaborate closely with data scientists, software engineers, and product teams to translate model requirements into scalable infrastructure. This is a hands-on technical leadership position with strong influence over architecture and engineering standards. You will also mentor engineers while driving best practices in CI/CD, cloud infrastructure, and ML deployment. The environment is remote-first, highly collaborative, and innovation-driven.

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!

 Why Apply Through Jobgether? 

 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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