Senior ML Ops Engineer — Remote

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

Benefits offered by this job

100% remote

Long-term contract

High visibility role

International team

Career growth opportunities

Job summary

Coderio is seeking a Senior Machine Learning Ops Engineer to own architecture, development, and automation of end-to-end ML solutions within an established engineering team. You will bridge data science and software engineering, evaluate cloud solutions, and deploy scalable models into production.

This hands-on role focuses on the ML lifecycle health, performance, and cost-efficiency of cloud architectures, delivering high-quality scalable solutions that drive business value.

Qualifications

• Educational Foundation: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
• ML Deployment Mastery: Proven hands-on experience implementing and deploying machine learning solutions in production environments.
• Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark.
• Tooling & Infrastructure: Strong knowledge in Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
• Architecture & Integration: Solid understanding of data architectures and complex systems integration.
• Problem Solving: Demonstrated ability to troubleshoot and solve complex software system issues.
• Cloud Platforms: Extensive experience with AWS and GCP.
• Soft Skills: Must be a team player with strong communication and collaboration.

Responsibilities

• ML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions.
• MLOps & Automation: Manage and automate the complete machine learning lifecycle from development to production.
• Cross-Functional Collaboration: Work with data engineers and data scientists to build scalable solutions across the software development lifecycle.
• Cloud & Architecture Strategy: Evaluate cloud solutions and optimize performance and cost-efficiency of architectures.
• Business Alignment: Engage with stakeholders to understand business challenges and propose technical solutions.
• Mentorship & Advocacy: Clearly communicate concepts and mentor teams on new developments.

Skills

Python

SQL

Spark

Docker

Git

Bash scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

AWS

GCP

Communication skills

Education

Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles

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 within an established engineering team. You will bridge data science and software engineering, evaluate cloud solutions, and deploy scalable models into production.

This hands-on role focuses on the ML lifecycle health, performance, and cost-efficiency of cloud architectures, delivering high-quality scalable solutions that drive business value.