Senior MLOps Engineer — 100% Remote AI Production

FullStack

Tandil

Remote

ARS 201,463,000 - 325,440,000

Full time

27 hours ago
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Benefits offered by this job

Competitive pay
100% remote work
Work with startups & Fortune 500
Continuing education opportunities
Career growth

Job summary

FullStack is seeking a Senior MLOps Engineer to join client teams remotely and help scale AI-powered systems in production.

You will design, build, and operate ML pipelines, collaborate with data scientists and software engineers, and ensure reliable, scalable ML workflows across cloud platforms.

Role offers 100% remote work with global clients and opportunities for growth within a fast‑growing AI engineering partner.

Qualifications

  • 5+ years of professional experience in Software Engineering, MLOps, ML Engineering.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Extensive experience building and operating MLOps platforms and production machine learning workflows.
  • Hands-on experience with Vertex AI, MLflow, Kubeflow, or similar MLOps tooling.
  • Strong background in feature stores, feature pipelines, SQL, and data workflows.

Responsibilities

  • Integrate into client teams daily and collaborate with designers and engineers on ML projects.
  • Build and operate production ML workflows and pipelines.
  • Develop scalable, reliable ML systems and improve performance.
  • Participate in architectural decisions and mentorship to other engineers.

Skills

MLOps
ML Engineering
Python
Go
JavaScript
SQL
Cloud platforms (GCP/AWS/Azure)
Agile/Scrum
Mentoring
CI/CD
A/B testing

Education

Bachelor's degree

Tools

Vertex AI
MLflow
Kubeflow
GCP
AWS
Azure

Job description

FullStack is seeking a Senior MLOps Engineer to join client teams remotely and help scale AI-powered systems in production.

You will design, build, and operate ML pipelines, collaborate with data scientists and software engineers, and ensure reliable, scalable ML workflows across cloud platforms.

Role offers 100% remote work with global clients and opportunities for growth within a fast‑growing AI engineering partner.

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