MLOps Engineer - Production AI/ML (Remote)

FullStack; Rosario; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

100% remote work

Continuing education opportunities

Career growth opportunities

Job summary

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join our talent network for flexible, project-based development work with U.S. clients. You will collaborate with client teams and contribute to production ML solutions.

Ideal candidates have 3+ years in ML/MLOps, strong Python, and experience deploying models via APIs. Advanced English and a four-year degree are required; remote work is available to candidates worldwide.

Qualifications

• 3+ years of professional software development experience with Machine Learning and MLOps practices.
• Advanced English is required.
• Four-year college degree required.
• Experience deploying ML/AI models to production via APIs or endpoints.
• Hands-on MLOps: model tracking, versioning, monitoring, lifecycle management.
• Experience with Python for ML development and production apps.
• Familiarity with LLMs or Generative AI concepts and integrations.
• Solid understanding of containers, cloud platforms, and CI/CD workflows.

Responsibilities

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

Skills

ML/ops

Python

API deployment

CI/CD

LLMs/Generative AI

English proficiency

Agile/Scrum

Problem solving

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Job description

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join our talent network for flexible, project-based development work with U.S. clients. You will collaborate with client teams and contribute to production ML solutions.

Ideal candidates have 3+ years in ML/MLOps, strong Python, and experience deploying models via APIs. Advanced English and a four-year degree are required; remote work is available to candidates worldwide.