Senior ML Ops Architect — Remote, High-Impact

Tyk; Neuquén; Remote; ARS 2,790,000 - 4,687,000; Full time

Benefits offered by this job

Long-term contract

Strategic role

Tech strategy influence

International team

Flexible work

Job summary

Coderio is seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions. Join an established engineering team and bridge data science with software engineering to deploy scalable models into production.

You will optimize ML lifecycle health, cloud architecture performance and cost, and collaborate with data engineers and scientists to deliver high-impact, production-ready systems.

Qualifications

• Bachelor’s degree in software engineering/CS or equivalent experience.
• Hands-on experience deploying ML in production.
• Strong Python, SQL, Spark skills.
• Experience with AWS and GCP.
• Experience with Docker, Git, Bash, FastAPI, Airflow, CloudFormation.
• Ability to troubleshoot complex systems.

Responsibilities

• Architect and develop end-to-end ML solutions.
• Manage the full ML lifecycle from development to production.
• Collaborate with data engineers and scientists to scale platforms.
• Evaluate cloud architectures for performance and cost.
• Align technical work with business goals.
• Mentor teammates and advocate best practices.

Skills

Python

SQL

Spark

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Education

Bachelor’s degree in software engineering/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. Join an established engineering team and bridge data science with software engineering to deploy scalable models into production.

You will optimize ML lifecycle health, cloud architecture performance and cost, and collaborate with data engineers and scientists to deliver high-impact, production-ready systems.