Senior Data Platform Engineer Id92207

AgileEngine, LLC.; Neuquén; À distance; ARS 250 000 - 450 000; Plein temps

Avantages offerts par ce poste

Long-term contract engagement with高

Strategic role with high visibility

Influence on technical strategy (MLOps

Collaborative international team with强

Flexible, dynamic work environment

Résumé du poste

Coderio designs and delivers scalable digital solutions for global companies. The Senior ML Ops Engineer will own architecture, development, and automation of end-to-end machine learning solutions within a cross‑functional team.

You will deploy scalable models in production, optimize cloud costs on AWS and GCP, and mentor teammates while translating business challenges into robust technical solutions. This hands‑on role emphasizes collaboration, technical excellence, and continuous improvement

Qualifications

• Bachelors degree in software engineering/computer science, or proven equivalent experience.
• Hands-on experience implementing and deploying ML solutions in production.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge of Docker, Git, Bash, FastAPI, SageMaker Studio, Airflow, and CloudFormation.
• Solid understanding of data architectures and systems integration.
• Experience troubleshooting complex software systems.
• Extensive experience with AWS and GCP.
• Team player with good communication skills.

Responsabilités

• Architect and develop end-to-end machine learning solutions.
• Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
• Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.
• Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.
• Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
• Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.

Connaissances

Python

SQL

Spark

Docker

Git

Bash

FastAPI

Airflow

SageMaker Studio

CloudFormation

AWS

GCP

Communication

Teamwork

Formation

Bachelors degree in software engineering/computer science

Outils

SageMaker Studio

Airflow

CloudFormation

AWS

GCP

Description du poste

Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long‑term partnerships through technical excellence. More information:

This is a high‑impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture, development, and automation of end‑to‑end machine learning solutions. Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.

This is a hands‑on execution role. You are responsible for the technical health of the ML lifecycle, the performance and cost‑efficiency of the cloud architecture, and delivering high‑quality, scalable solutions that drive business value.

Responsibilities

• Architect and develop robust, end‑to‑end machine learning solutions.
• Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
• Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.
• Work on cloud solutions, actively evaluating the performance and cost‑efficiency of potential architectures.
• Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
• Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.

Requirements

• Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
• Proven hands‑on experience implementing and deploying machine learning solutions in production environments.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge in (or similar to) 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 who effectively participates within the group. We are looking for a curious profile, a self‑learner with a positive attitude, and excellent communication skills.

Nice to Have

• Domain experience in payments or other complex financial systems.

Benefits

• Long‑term contract engagement with high impact and autonomy.
• Strategic and high‑visibility role within a modern engineering culture.
• Opportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost‑efficiency.
• Collaborative international team with strong technical leadership.
• Flexible, dynamic, and fast‑paced work environment.

Why Join Coderio?

At Coderio, we value talent and excellence. We are a remote‑first company, and this specific strategic role offers the opportunity to drive high‑stakes initiatives from anywhere. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you.

Salary

$0 - $0 a month