Senior ML Ops Engineer - Cloud Reliability (Remote)

T2S - Group International . Your Partner In Executive Search; Neuquén; Remote; ARS 136,732,000 - 212,695,000; Full time

Benefits offered by this job

Remote-friendly

International team

Strategic role

Flexible environment

Job summary

Coderio is seeking 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 in production.

This hands-on role focuses on ML lifecycle health, cloud performance, and delivering cost-efficient, high-quality solutions within an international engineering team. Remote-first with global impact.

Qualifications

• Bachelor’s degree or equivalent in software/data engineering or ML.
• Hands-on experience deploying ML solutions in production.
• Strong Python, SQL and Spark foundations.
• Experience with modern cloud platforms (AWS/GCP).
• Team player with clear communication and collaboration.

Responsibilities

• Architect and develop end-to-end machine learning solutions.
• Automate the ML lifecycle from development to production.
• Collaborate with data engineers and scientists to scale solutions.
• Evaluate cloud architectures for performance and cost.
• Explain concepts clearly and enable teams to adopt deployments.

Skills

Python

SQL

Spark

Education

Bachelor’s degree in software engineering/computer science

Tools

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Job description

Coderio is seeking 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 in production.

This hands-on role focuses on ML lifecycle health, cloud performance, and delivering cost-efficient, high-quality solutions within an international engineering team. Remote-first with global impact.