Senior MLOps Engineer - Production ML & Pipelines

FullStack; La Plata; Remote; ARS 136,430,000 - 227,383,000; Full time

Benefits offered by this job

Remote work

Competitive pay

Education opportunities

Career growth

Job summary

FullStack is seeking an experienced ML/AI platform engineer to join a remote, client-facing team. You will integrate into a client's team and help deploy production ML workloads, focusing on scalable pipelines and reliable systems.

Ideal candidates have 5+ years in software/ML, advanced English, and hands-on with Vertex AI, Kubeflow, or MLflow, plus cloud experience. This role offers 100% remote work with opportunities to work on large, complex systems for North American clients.

Qualifications

• 5+ years of professional experience in Software Eng, 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 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, JavaScript, or similar languages.
• Experience with GCP, AWS, or Azure.
• Practical experience implementing A/B testing and experimentation frameworks for ML-driven products.
• Experience with AI-assisted development tools and incorporating AI into engineering workflows.
• Solid understanding of scalable, reliable, and production-ready ML systems.
• Familiarity with search or recommendation systems, real-time systems, and latency/performance optimization is a plus.
• Experience mentoring engineers and contributing to technical direction is a plus.
• Ability to create and maintain continuous integration and delivery of applications.

Responsibilities

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Skills

MLOps

ML Engineering

Software Engineering

Python

Go

JavaScript

SQL

Data Pipelines

Feature Stores

Cloud Platforms

A/B Testing

CI/CD

Agile/Scrum

Backend Services

Education

Bachelor's Degree

Tools

Vertex AI

MLflow

Kubeflow

GCP

Job description

FullStack is seeking an experienced ML/AI platform engineer to join a remote, client-facing team. You will integrate into a client's team and help deploy production ML workloads, focusing on scalable pipelines and reliable systems.

Ideal candidates have 5+ years in software/ML, advanced English, and hands-on with Vertex AI, Kubeflow, or MLflow, plus cloud experience. This role offers 100% remote work with opportunities to work on large, complex systems for North American clients.