Senior MLOps Engineer - Remote, High-Impact Backend

Turnkey Labs, Inc.; Neuquén; Remote; ARS 91.155.000 - 182.310.000; Vollzeit

Zusammenfassung

Coderio designs and delivers scalable digital solutions for global companies. We are seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions, bridging data science and software engineering.

You will work with a remote-first, international team, evaluate cloud options, deploy scalable models, and ensure cost-efficiency and performance. Strong Python/SQL/Spark skills and experience with Docker, Git, Airflow, and AWS/GCP are

Qualifikationen

• Bachelor’s degree in software engineering/computer science or proven equivalent in data engineering or ML roles.
• Hands-on experience deploying ML solutions in production.
• Strong Python, SQL and Spark skills.
• Experience with Docker, Git, Bash Scripting, FastAPI, Airflow and CloudFormation.
• Solid understanding of data architectures and system integration.
• Excellent communication and collaboration skills.

Aufgaben

• 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 systems.
• Evaluate cloud solutions and optimize for performance and cost.
• Ensure alignment with business goals and communicate technical concepts clearly.
• Mentor team members and advocate best practices in ML engineering.

Kenntnisse

Python

SQL

Spark

ML Ops

Communication

Ausbildung

Bachelor’s degree in Software Engineering or Computer Science

Tools

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Jobbeschreibung

Coderio designs and delivers scalable digital solutions for global companies. We are seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions, bridging data science and software engineering.

You will work with a remote-first, international team, evaluate cloud options, deploy scalable models, and ensure cost-efficiency and performance. Strong Python/SQL/Spark skills and experience with Docker, Git, Airflow, and AWS/GCP are