Senior MLOps Engineer - 100% Remote AI Production

FullStack; La Plata; On-site; ARS 211,388,000 - 271,784,000; Full time

Benefits offered by this job

Competitive pay

100% remote

Work with startups & Fortune 500

Continuing education

Career growth

Job summary

FullStack is seeking a Senior MLOps Engineer to join our AI-native engineering practice. You will embed with client teams to design, build, and deploy production ML pipelines, feature stores, and scalable ML services. Strong focus on reliability, performance, and collaboration with data scientists and software engineers.

Remote, US-facing engagements; advanced English required; four-year degree and 5+ years in software, ML, or MLOps. Experience with Vertex AI and cloud platforms a must.

Qualifications

• 5+ years in Software Engineering, MLOps, or ML Engineering.
• Advanced English is required.
• Four-year college degree required.
• Extensive experience building and operating MLOps platforms and production ML workflows.
• Hands-on with Vertex AI, MLflow, Kubeflow, or similar tools.
• Strong background in feature stores, feature pipelines, SQL, and data workflows.
• Experience developing backend services using Python, Go, Ruby, JavaScript, or similar languages.
• Experience with GCP or AWS or Azure.
• Experience with A/B testing and experimentation frameworks for ML.
• Experience with AI-assisted development tools and production ML systems.

Responsibilities

• Integrate directly into client teams and work with designers and engineers daily.
• Design, build, deploy, and maintain production ML pipelines and services.
• Collaborate on data workflows, feature stores, and ML experimentation.

Skills

Advanced English

MLOps

Backend services

Python/Go/JS

Education

Bachelor's degree

Tools

Vertex AI

MLflow

Kubeflow

GCP

AWS

Azure

Job description

FullStack is seeking a Senior MLOps Engineer to join our AI-native engineering practice. You will embed with client teams to design, build, and deploy production ML pipelines, feature stores, and scalable ML services. Strong focus on reliability, performance, and collaboration with data scientists and software engineers.

Remote, US-facing engagements; advanced English required; four-year degree and 5+ years in software, ML, or MLOps. Experience with Vertex AI and cloud platforms a must.