Senior ML Ops Engineer - Production ML in the Cloud (Remote)

Coderio; Municipio de Rincón de los Sauces; Presencial; ARS 178.643.000 - 267.965.000; Jornada completa

Descripción de la vacante

Coderio, a remote-first company, is seeking a Senior Machine Learning Ops Engineer to own end‑to‑end ML solutions, spanning architecture, development, and automation. You will work with data engineers and data scientists to 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, cloud architecture performance, and delivering high‑quality scalable solutions that drive

Formación

• Bachelor’s degree in software engineering/computer science or proven equivalent experience in data engineering or machine learning roles.
• Hands‑on experience implementing and deploying machine learning solutions in production environments.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge in Docker, Git, Bash Scripting, FastAPI, SageMaker Studio, Airflow, and CloudFormation.

Responsabilidades

• Architect and develop robust, end-to-end machine learning solutions.
• Manage and automate the complete machine learning lifecycle from development to production.
• Collaborate with data engineers and data scientists to build scalable solutions and integrate across the software lifecycle.
• Evaluate cloud architectures and optimize performance and cost across AWS and GCP.
• Interact with teams to understand business challenges and propose technical solutions.
• Mentor and evangelize best practices for ML/Ops within the team.

Conocimientos

ML deployment

Cross-functional collaboration

Problem solving

Self-learning

Clear communication

Educación

Bachelor’s degree in software engineering/computer science

Herramientas

Docker

Git

Bash scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Spark

Python

SQL

AWS

GCP

Descripción del empleo

Coderio, a remote-first company, is seeking a Senior Machine Learning Ops Engineer to own end‑to‑end ML solutions, spanning architecture, development, and automation. You will work with data engineers and data scientists to 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, cloud architecture performance, and delivering high‑quality scalable solutions that drive