Senior ML Ops Engineer - Remote, AWS & LLMs

Caramel Point; Neuquén; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Long-term contract engagement

Strategic and high-visibility role

Influence technical strategy on MLOps

Collaborative international team

Flexible, dynamic work environment

Job summary

Coderio, a remote-first company, is seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions. You will bridge data science and software engineering, evaluating cloud options, and deploying scalable models into production.

This is a hands-on role focused on ML lifecycle health, cloud performance and cost-efficiency, delivering high-quality, scalable solutions that drive business value. Join a collaborative international team.

Qualifications

• Bachelor’s degree in software engineering or CS or proven equivalent.
• Hands-on experience deploying ML solutions in production.
• Advanced Python, SQL, Spark; cloud/AWS/GCP.
• Experience with Docker, Git, Bash, FastAPI, Airflow.

Responsibilities

• Architect and develop end-to-end machine learning solutions.
• Automate ML lifecycle from development to production.
• Collaborate with data engineers and scientists to scale.
• Evaluate cloud architectures for performance and cost.
• Communicate with teams to translate business needs.
• Teach teams to adopt new developments.

Skills

Python

SQL

Spark

Docker

Git

Bash scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

AWS

GCP

Cloud architecture

MLOps

Education

Bachelor's degree in software engineering or computer science

Tools

Sagemaker Studio

Airflow

FastAPI

CloudFormation

AWS

GCP

Job description

Coderio, a remote-first company, is seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions. You will bridge data science and software engineering, evaluating cloud options, and deploying scalable models into production.

This is a hands-on role focused on ML lifecycle health, cloud performance and cost-efficiency, delivering high-quality, scalable solutions that drive business value. Join a collaborative international team.