Remote Senior ML Ops Engineer — End-to-End ML in Production

Yo Ai Labs; Neuquén; Remote; ARS 4,464,000 - 7,812,000; Full time

Benefits offered by this job

Long-term contract

High visibility role

Strategy influence

International team

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, evaluating cloud options and deploying scalable models into production.

You will ensure the ML lifecycle's health, optimize cloud performance, and deliver high-quality, cost-effective solutions that drive business value. Remote-first company with global impact and strong engineering culture.

Qualifications

• Bachelor's degree in software engineering/computer science or proven equivalent experience.

Responsibilities

• Architect and develop end-to-end ML solutions.
• Manage and automate the complete ML lifecycle.
• Collaborate with data engineers and data scientists to build scalable solutions.
• Evaluate cloud architectures for performance and cost-efficiency.
• Align technical work with business needs and strategy.
• Mentor teams and evangelize new ML engineering practices.

Skills

Python

SQL

Spark

MLOps

AWS

GCP

Docker

Git

Bash

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Communication

Education

Bachelor's degree in Software Engineering/CS

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, evaluating cloud options and deploying scalable models into production.

You will ensure the ML lifecycle's health, optimize cloud performance, and deliver high-quality, cost-effective solutions that drive business value. Remote-first company with global impact and strong engineering culture.