Remote ML Ops Engineer: End-to-End Production

Anyone Ai Inc.; Neuquén; À distance; ARS 2 000 000 - 3 200 000; Plein temps

Résumé du poste

Coderio designs scalable digital solutions for global clients. We seek a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions within an established engineering team.

You will bridge data science and software engineering, evaluate cloud options, and deploy scalable models, ensuring performance, cost-efficiency, and reliable production readiness.

Qualifications

• Bachelor’s degree in software engineering/computer science or proven equivalent experience in data engineering or machine learning roles.
• Hands-on experience deploying ML solutions in production.
• Strong Python, SQL, and Spark experience.
• Experience with containerization and cloud workflows.

Responsabilités

• Architect and develop end-to-end ML solutions.
• Manage and automate the complete ML lifecycle from development to production.
• Collaborate with data engineers and data scientists to scale solutions.
• Evaluate cloud architectures for performance and cost efficiency.
• Communicate technical concepts and mentor teams.

Connaissances

Python

SQL

Spark

Formation

Bachelor's degree in software engineering/computer science

Outils

Docker

Git

Bash scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Description du poste

Coderio designs scalable digital solutions for global clients. We seek a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions within an established engineering team.

You will bridge data science and software engineering, evaluate cloud options, and deploy scalable models, ensuring performance, cost-efficiency, and reliable production readiness.