Senior MLOps Engineer — 100% Remote AI Production

FullStack; Córdoba; On-site; ARS 181,190,000 - 256,685,000; Full time

Benefits offered by this job

100% remote work

Opportunity with startups and Fortune

Continuing education opportunities

Job summary

FullStack is seeking a Senior MLOps Engineer to join our talent network and work with U.S. clients on flexible, project-based development. You will join client teams, collaborate with designers and engineers, and drive production ML capabilities.

We value deep experience in MLOps, Vertex AI, Kubeflow, and data pipelines, with a focus on scalable ML systems and agile collaboration. This role offers 100% remote work and opportunities to work with leading startups and Fortune 500 companies.

Qualifications

• 5+ years of professional software engineering, MLOps, or ML engineering.
• Advanced English is required.
• Four‑year college degree is required.
• Extensive experience building and operating MLOps platforms and production ML workflows.
• Hands-on experience with Vertex AI, MLflow, Kubeflow, or similar MLOps tooling.
• Strong background in feature stores, feature pipelines, SQL, and data workflows.
• Proven experience developing backend services using Python, Go, Ruby, JavaScript, or similar languages.
• Demonstrated experience working with GCP or other major cloud platforms such as AWS or Azure.
• Practical experience implementing A/B testing and experimentation frameworks for ML‑driven products.
• Experience mentoring engineers and contributing to technical direction is a plus.

Responsibilities

• Integrate directly into client teams and work alongside their designers and engineers daily.
• Develop and operate production ML workflows and ML systems for client projects.
• Contribute to scalable, reliable, and production‑ready ML architectures and tooling.

Skills

MLOps

Backend development

Python

Cloud platforms

Education

Bachelor's degree in CS or related

Tools

Vertex AI

MLflow

Kubeflow

Feature stores & data pipelines

Job description

FullStack is seeking a Senior MLOps Engineer to join our talent network and work with U.S. clients on flexible, project-based development. You will join client teams, collaborate with designers and engineers, and drive production ML capabilities.

We value deep experience in MLOps, Vertex AI, Kubeflow, and data pipelines, with a focus on scalable ML systems and agile collaboration. This role offers 100% remote work and opportunities to work with leading startups and Fortune 500 companies.