Senior ML Ops Engineer - Remote, Cloud-Driven Solutions

TalentCross; Municipio de Rincón de los Sauces; À distance; ARS 90 873 000 - 136 310 000; Plein temps

Avantages offerts par ce poste

Long-term contract engagement

Strategic and high-visibility role

Influence technical strategy on MLOps

Collaborative international team

Flexible, dynamic environment

Résumé du poste

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

This hands-on role focuses on the ML lifecycle health, cloud performance and cost optimization, and delivering high-quality, scalable systems that drive business value for international clients.

Qualifications

• Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
• Proven hands-on experience 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.
• Solid understanding of data architectures and complex systems integration.
• Demonstrated ability to troubleshoot and solve complex software system issues.
• Extensive experience with modern cloud platforms, specifically AWS and GCP.
• Must be a team player with excellent communication skills.

Responsabilités

• ML Architecture & Development: Architect and develop robust, end‑to‑end machine learning solutions.
• MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
• Cross‑Functional Collaboration: Collaborate closely with data engineers and data scientists to create scalable solutions and integrate them with other technical areas across the SDLC.
• Cloud & Architecture Strategy: Work on cloud solutions, evaluating the performance and cost‑efficiency of potential architectures.
• Business Alignment: Interact with other teams to understand business challenges and propose technical solutions.
• Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to use and adopt new developments.

Connaissances

Python

SQL

Spark

Docker

Git

Bash scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

AWS

GCP

Formation

Bachelor’s degree in software engineering/computer science

Outils

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Description du poste

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

This hands-on role focuses on the ML lifecycle health, cloud performance and cost optimization, and delivering high-quality, scalable systems that drive business value for international clients.