Senior MLOps Engineer - Remote - Latin America

About the role

FullStack is looking for a Senior MLOps Engineer to join a U.S. client’s team on a remote, project‑based basis. You will work side‑by‑side with designers and engineers to bring machine‑learning models from prototype to production, ensuring reliability and scalability.

Key responsibilities

• Design, build, and operate MLOps platforms and production ML pipelines.
• Develop backend services using Python, Go, Ruby, or JavaScript.
• Implement feature stores, feature pipelines, and data workflows with SQL.
• Integrate and manage tools such as Vertex AI, MLflow, Kubeflow, or equivalents.
• Set up A/B testing and experimentation frameworks for ML‑driven products.
• Maintain CI/CD pipelines and ensure continuous delivery of ML applications.
• Collaborate in Agile/Scrum teams and contribute to technical direction.

Required profile

• 5+ years of professional experience in software engineering, MLOps, or ML engineering.
• Advanced English proficiency.
• Completed a four‑year college degree.
• Proven experience with major cloud platforms (GCP, AWS, Azure).
• Strong problem‑solving mindset and ability to take ownership of complex systems.

Required skills

• Python, Go, Ruby, JavaScript
• Vertex AI, MLflow, Kubeflow
• SQL and feature‑store technologies
• GCP, AWS, Azure
• A/B testing frameworks
• CI/CD tools
• Agile/Scrum methodologies

What we offer

• Flexible, remote project‑based engagements with U.S. clients.
• Opportunity to work on cutting‑edge AI products.
• Collaboration with a global team of elite engineers.