Software Engineer II - MLOps

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer II – MLOps based in Brazil.

This role sits at the core of operationalizing machine learning systems in production, bridging the gap between data science experimentation and scalable, reliable software engineering. You will work in a highly collaborative, global engineering environment focused on building infrastructure that enables ML models to run efficiently, safely, and at scale. The position involves designing and maintaining end-to-end ML pipelines, ensuring models are continuously deployed, monitored, and optimized in production. You will contribute directly to system reliability, performance, and cost efficiency while working closely with data scientists, backend engineers, and infrastructure teams. This is a hands-on engineering role where automation, observability, and scalability are key priorities. You will help transform ML models into real-world product capabilities that directly support operational businesses and their customers.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer II – MLOps based in Brazil.

This role sits at the core of operationalizing machine learning systems in production, bridging the gap between data science experimentation and scalable, reliable software engineering. You will work in a highly collaborative, global engineering environment focused on building infrastructure that enables ML models to run efficiently, safely, and at scale. The position involves designing and maintaining end-to-end ML pipelines, ensuring models are continuously deployed, monitored, and optimized in production. You will contribute directly to system reliability, performance, and cost efficiency while working closely with data scientists, backend engineers, and infrastructure teams. This is a hands-on engineering role where automation, observability, and scalability are key priorities. You will help transform ML models into real-world product capabilities that directly support operational businesses and their customers.

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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