Senior ML Ops Engineer — Build Production ML at Scale

Silicon Development; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Remote-friendly culture

Flexible work environment

International team

Competitive compensation

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 is focused on maintaining ML lifecycle health, optimizing cloud performance and cost, and delivering high-quality, scalable solutions that drive business value. Remote-first, international team, competitive compensation.

Qualifications

• Bachelor's degree in software engineering or computer science, or equivalent experience.
• Hands-on experience deploying ML models in production.
• Proficient Python, SQL, Spark; strong containerization and orchestration tools.

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 technical work with business needs.
• Mentor and advocate for best practices in ML engineering.

Skills

Python

SQL

Spark

ML deployment

Cloud architecture

Team collaboration

Communication

Education

Bachelor’s degree or equivalent

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 is focused on maintaining ML lifecycle health, optimizing cloud performance and cost, and delivering high-quality, scalable solutions that drive business value. Remote-first, international team, competitive compensation.