Remote Senior ML Ops Engineer: Build Scalable AI Pipelines

Bluelightconsulting; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Long‑term contract

High impact role

Strategy influence

International team

Remote-friendly

Job summary

Coderio recruits a Senior Machine Learning Ops Engineer to own architecture, development, and automation of end‑to‑end ML solutions. You will bridge data science and software engineering, evaluate cloud options, and deploy scalable models into production.

This hands‑on role focuses on the ML lifecycle health, cloud cost‑efficiency, and delivering high‑quality scalable solutions that drive business value. Remote-first with international collaboration.

Qualifications

• Bachelor’s degree in software engineering or computer science, or equivalent experience.
• Proven hands-on deployment of ML solutions in production.
• Strong Python, SQL, and Spark proficiency.
• Experience with AWS and GCP cloud platforms.
• Experience with data architectures and systems integration.
• Excellent communication and collaborative skills.

Responsibilities

• Architect and develop end‑to‑end ML solutions.
• Manage and automate the complete ML lifecycle from development to production.
• Collaborate with data engineers/scientists to build scalable solutions.
• Evaluate cloud architectures for performance and cost efficiency.
• Align with business teams to propose technical solutions.
• Mentor and advocate for best practices in the team.

Skills

Python

SQL

Spark

MLOps

Education

Bachelor's degree in software engineering/computer science

Tools

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Job description

Coderio recruits a Senior Machine Learning Ops Engineer to own architecture, development, and automation of end‑to‑end ML solutions. You will bridge data science and software engineering, evaluate cloud options, and deploy scalable models into production.

This hands‑on role focuses on the ML lifecycle health, cloud cost‑efficiency, and delivering high‑quality scalable solutions that drive business value. Remote-first with international collaboration.