Senior ML Ops Engineer - Remote | End-to-End ML Automation

Werben HR LLC; Neuquén; Remote; ARS 3,200,000 - 6,400,000; Full time

Benefits offered by this job

Long-term contract

High visibility

Strategy influence

International team

Flexible environment

Job summary

Coderio designs and delivers scalable digital solutions for global companies. We seek a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions.

You will operate within an established engineering team, bridging data science and software engineering while deploying scalable models to production. You will optimize ML lifecycle health, cloud performance and cost, and deliver high-quality, scalable outcomes driving business value in a

Qualifications

• Bachelor’s degree in software engineering or CS, or proven equivalent.
• Hands-on experience deploying ML solutions in production.
• Advanced Python, SQL and Spark skills.
• Strong tooling knowledge: Docker, Git, Bash, FastAPI, SageMaker Studio, Airflow, CloudFormation.
• Solid data architectures and systems integration understanding.
• Problem solving mindset and collaborative communication.
• Experience with AWS and GCP cloud platforms.
• Team player with proactive learning and good communication.

Responsibilities

• Architect and develop end-to-end ML solutions.
• Manage and automate the ML lifecycle from dev to prod.
• Collaborate with data engineers and scientists to scale solutions.
• Evaluate cloud architectures for performance and cost.
• Align with business teams and propose technical solutions.
• Mentor and evangelize new ML developments.

Skills

Python

SQL

Spark

Docker

Git

Bash scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

AWS

GCP

Education

Bachelor's degree in Software Engineering or Computer Science

Tools

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Job description

Coderio designs and delivers scalable digital solutions for global companies. We seek a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions.

You will operate within an established engineering team, bridging data science and software engineering while deploying scalable models to production. You will optimize ML lifecycle health, cloud performance and cost, and deliver high-quality, scalable outcomes driving business value in a