Senior ML Ops Engineer - AWS, Remote

Caramel Point; Neuquén; Remote; ARS 152,979,000 - 254,965,000; Full time

Benefits offered by this job

100% remote

Long-term commitment

Strategic role with high visibility

Collaborative international team

Career growth opportunities

Job summary

Coderio is a remote-first company 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, evaluate cloud solutions, and deploy scalable models into production.

You will be responsible for ML lifecycle health, cloud performance, and delivering high-quality scalable solutions with business impact. Strong collaboration and mentoring are essential.

Qualifications

• Bachelor’s degree in software engineering or computer science, or equivalent experience.
• Hands-on experience deploying ML in production environments.
• Proficiency in Python, SQL, and Spark.
• Experience with Docker, Git, Bash, FastAPI, SageMaker Studio, Airflow, and CloudFormation.
• Solid understanding of data architectures and systems integration.
• Strong problem solving and debugging skills.
• Experience with AWS and GCP cloud platforms.
• Excellent communication and collaboration abilities.

Responsibilities

• Lead end-to-end ML architecture, development, and automation of ML solutions.
• Manage and automate the ML lifecycle from development to production (MLOps).
• Collaborate with data engineers/scientists to build scalable solutions across SDLC.
• Evaluate cloud architectures for performance and cost efficiency.
• Interact with teams to align technical solutions with business goals.
• Mentor junior teammates and evangelize best practices in ML engineering.

Skills

Python

SQL

Spark

AWS

GCP

Communication

Machine Learning

Education

Bachelor's degree in software engineering or computer science

Tools

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Job description

Coderio is a remote-first company 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, evaluate cloud solutions, and deploy scalable models into production.

You will be responsible for ML lifecycle health, cloud performance, and delivering high-quality scalable solutions with business impact. Strong collaboration and mentoring are essential.