Senior MLOps Engineer (Remote, Latin America)

About the role

We are looking for a Senior MLOps Engineer to join our talent network and work remotely with U.S. clients across Latin America. You will become an integral part of the client’s engineering team, collaborating daily with designers and developers to deliver production‑ready machine‑learning solutions.

Key responsibilities

• Design, build and operate end‑to‑end MLOps platforms and production ML pipelines.
• Develop backend services and APIs using Python, Go, Ruby or JavaScript.
• Integrate and manage tools such as Vertex AI, MLflow, Kubeflow and feature‑store solutions.
• Implement A/B testing and experimentation frameworks for ML‑driven products.
• Maintain CI/CD pipelines and ensure reliable, scalable deployments on GCP, AWS or Azure.
• Collaborate with cross‑functional teams in Agile/Scrum environments and mentor junior engineers.

Required profile

• 5+ years of professional experience in software engineering, MLOps or ML engineering.
• Advanced English proficiency and a completed four‑year college degree.
• Proven track record delivering large, complex ML systems in production.
• Strong problem‑solving mindset and ability to take ownership of work.

Required skills

• Vertex AI, MLflow, Kubeflow (or similar MLOps tooling).
• Feature stores, feature pipelines, SQL and data workflow management.
• Backend development with Python, Go, Ruby or JavaScript.
• Experience with GCP, AWS or Azure cloud platforms.
• A/B testing and experimentation frameworks for ML products.
• CI/CD implementation and automation.

What we offer

• Flexible, project‑based engagements with U.S. clients.
• Fully remote work across Latin America.
• Opportunity to work on cutting‑edge AI products with a fast‑growing engineering partner.