Senior ML Ops Engineer - Remote, High-Impact

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

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, deploying scalable models into production in a remote-first setting.

You will lead ML lifecycle health, optimize cloud cost-efficiency, and mentor teams while collaborating with data engineers and scientists to deliver high-impact solutions across international projects.

Qualifications

• Bachelor’s degree in software engineering or computer science or proven equivalent experience.
• Hands-on experience deploying machine learning solutions in production.
• Strong Python, SQL, and Spark expertise.
• Experience with modern ML tools and cloud services (AWS/GCP).
• Ability to design scalable ML architectures and guide deployment.

Responsibilities

• ML architecture and end-to-end development of ML solutions.
• Manage and automate the ML lifecycle from dev to production.
• Collaborate with data engineers and data scientists across the SDLC.
• Evaluate cloud architectures for performance and cost efficiency.
• Interact with stakeholders to align technical solutions with business goals.
• Mentor teams and evangelize best practices in ML ops.

Skills

Python

SQL

Spark

Education

Bachelor's degree in software engineering or computer science

Tools

Docker

Git

Bash scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

AWS

GCP

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, deploying scalable models into production in a remote-first setting.

You will lead ML lifecycle health, optimize cloud cost-efficiency, and mentor teams while collaborating with data engineers and scientists to deliver high-impact solutions across international projects.