Senior ML Ops Engineer | Computer Vision & Production ML

Ryz Labs; Neuquén; Remote; ARS 2,000,000 - 4,200,000; Full time

Job summary

Coderio 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, evaluate cloud options, and deploy scalable models into production.

This hands-on role emphasizes technical health of the ML lifecycle, performance, and cost-efficient cloud architectures to deliver high‑quality solutions that drive value.

Qualifications

• Bachelor's degree in software engineering/computer science or proven equivalent experience.
• Proven hands-on experience deploying ML solutions in production.
• Strong Python, SQL and Spark capabilities.
• Solid experience with Docker, Git, Bash, FastAPI, Airflow and CloudFormation.

Responsibilities

• Architect and develop end-to-end ML solutions.
• Manage and automate the ML lifecycle from development to production.
• Collaborate with data engineers and data scientists to scale solutions.
• Evaluate cloud architectures for performance and cost efficiency.
• Align with business needs and communicate technical concepts clearly.
• Mentor teams and advocate best practices for ML deployments.

Skills

Python

SQL

Spark

ML Deployment

Education

Bachelor's degree in software engineering or 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 the 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 into production.

This hands-on role emphasizes technical health of the ML lifecycle, performance, and cost-efficient cloud architectures to deliver high‑quality solutions that drive value.