Senior MLOps Engineer – Remote – Latin America

About the role

FullStack is seeking a Senior MLOps Engineer to join a U.S. client’s team on a remote, project‑based basis. You will work closely with designers and engineers to build, operate, and scale production‑ready machine‑learning workflows.

Key responsibilities

• Design, implement, and maintain MLOps platforms using tools such as Vertex AI, MLflow, and Kubeflow.
• Develop feature stores, feature pipelines, and data workflows with SQL.
• Build backend services in Python, Go, Ruby, or JavaScript.
• Implement CI/CD pipelines and ensure reliable deployment of ML models.
• Set up A/B testing and experimentation frameworks for ML‑driven products.
• Collaborate with cross‑functional teams in an Agile/Scrum environment.
• Mentor junior engineers and contribute to technical direction.

Required profile

• 5+ years of professional experience in software engineering, MLOps, or ML engineering.
• Advanced English proficiency and a completed four‑year college degree.
• Hands‑on experience with major cloud platforms (GCP, AWS, or Azure).
• Proven ability to work on large, complex, production‑grade systems.
• Experience with Agile/Scrum teams and taking ownership of deliverables.

Required skills

• Vertex AI
• MLflow
• Kubeflow
• Feature stores & SQL
• Python, Go, Ruby, JavaScript
• Google Cloud Platform (GCP), AWS, Azure
• CI/CD pipelines
• A/B testing frameworks

What we offer

• Flexible, remote, project‑based engagements with U.S. clients.
• Opportunity to work on cutting‑edge AI products.
• Collaboration with elite, vetted talent across the Americas.