Senior ML Ops Engineer — Remote, End-to-End ML Architect

Motorolasolutions; Municipio de Rincón de los Sauces; Remote; ARS 121,164,000 - 181,747,000; Full time

Job summary

Coderio is 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, evaluating cloud options and deploying scalable models into production.

This hands-on role focuses on ML lifecycle health, cloud performance, and delivering high-quality, cost-efficient solutions with business impact. Remote-first with international collaboration opportunities.

Qualifications

• Bachelor’s degree in software engineering/computer science or proven equivalent experience in data engineering or ML roles.
• Hands-on experience deploying ML models in production.
• Strong Python, SQL and Spark skills.
• Experience with Docker, Git, Bash scripting, FastAPI, Sagemaker Studio, Airflow and CloudFormation.
• Ability to design and optimize data architectures and system integration.
• Excellent communication and collaborative skills.

Responsibilities

• Architect and develop end-to-end machine learning solutions.
• Manage and automate the ML lifecycle from development to production.
• Collaborate with data engineers and data scientists to build scalable solutions.
• Evaluate cloud options and optimize performance and cost for ML workloads.
• Engage with teams to align technical work with business goals.
• Mentor others and promote clear, effective technical communication.

Skills

Python

SQL

Spark

MLOps

AWS

GCP

Teamwork & communication

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 architecture, development and automation of end-to-end ML solutions. You will bridge data science and software engineering, evaluating cloud options and deploying scalable models into production.

This hands-on role focuses on ML lifecycle health, cloud performance, and delivering high-quality, cost-efficient solutions with business impact. Remote-first with international collaboration opportunities.