Remote ML Ops Engineer - Production AI/ML

FullStack; Rosario; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

100% remote work

Competitive pay

Work with startups & Fortune 500s

Continuing education opportunities

Job summary

FullStack is seeking a Machine Learning Operations Engineer to join our talent network for flexible, project-based development work with U.S. clients. You will integrate directly into our client's team and collaborate with designers and engineers on a daily basis to deploy ML models to production and manage ML lifecycle.

Strong Python, MLOps, and cloud/CICD experience are essential. Advanced English required.

Qualifications

• 3+ years of professional software development with ML/MLOps
• Advanced English required
• Four-year college degree required
• Experience deploying ML models to production via APIs/endpoints
• Hands-on MLOps: model tracking, versioning, monitoring, lifecycle management
• Experience with Python for ML development and automation
• Familiarity with cloud platforms and CI/CD workflows

Responsibilities

• Integrate into client teams and work with designers and engineers daily
• Deploy ML models to production via APIs/endpoints
• Implement MLOps practices including monitoring and lifecycle management

Skills

ML & MLOps

Python

APIs/Endpoints

CI/CD

Containerization

Cloud platforms

LangChain/LangGraph

LLMs/Generative AI

Agile/Scrum

Ownership & accountability

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

Job description

FullStack is seeking a Machine Learning Operations Engineer to join our talent network for flexible, project-based development work with U.S. clients. You will integrate directly into our client's team and collaborate with designers and engineers on a daily basis to deploy ML models to production and manage ML lifecycle.

Strong Python, MLOps, and cloud/CICD experience are essential. Advanced English required.