Remote Senior ML Ops Engineer – End-to-End ML Architect

Doist; Argentina; Presencial; ARS 178.643.000 - 267.965.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first company

High impact role

Descripción de la vacante

Coderio seeks a Senior Machine Learning Ops Engineer to own architecture, deployment, and automation of end-to-end ML solutions. You’ll bridge data science and software engineering, evaluate cloud options, and deploy scalable models into production, while owning the ML lifecycle health and cost-efficient cloud design.

You’ll collaborate with data engineers and scientists in a hands-on, high-impact role; remote-first, flexible, and with opportunities to influence technical strategy across MLOps

Formación

• Bachelor's degree in software engineering or related field.
• Hands-on experience deploying ML in production.
• Strong Python/SQL/Spark proficiency.
• Experience with AWS and GCP cloud platforms.

Responsabilidades

• Architect and develop end-to-end machine learning solutions.
• Manage and automate the complete ML lifecycle from development to production.
• Collaborate with data engineers and data scientists to build scalable solutions.
• Evaluate cloud solutions for performance and cost-efficiency of architectures.
• Align with other teams and stakeholders to deliver technical value.
• Mentor teams and evangelize best practices in ML and MLOps.

Conocimientos

Python

SQL

Spark

MLOps

Cloud (AWS/GCP)

Educación

Bachelor’s degree in CS or related field

Herramientas

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Descripción del empleo

Coderio seeks a Senior Machine Learning Ops Engineer to own architecture, deployment, and automation of end-to-end ML solutions. You’ll bridge data science and software engineering, evaluate cloud options, and deploy scalable models into production, while owning the ML lifecycle health and cost-efficient cloud design.

You’ll collaborate with data engineers and scientists in a hands-on, high-impact role; remote-first, flexible, and with opportunities to influence technical strategy across MLOps