Blockchain Senior Infrastructure Engineer (Core Systems) Remote – Latam Id #00357

Werben HR LLC; Neuquén; Remote; ARS 3,200,000 - 6,400,000; Full time

Benefits offered by this job

Long-term contract

High visibility

Strategy influence

International team

Flexible environment

Job summary

Coderio designs and delivers scalable digital solutions for global companies. We seek a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions.

You will operate within an established engineering team, bridging data science and software engineering while deploying scalable models to production. You will optimize ML lifecycle health, cloud performance and cost, and deliver high-quality, scalable outcomes driving business value in a

Qualifications

• Bachelor’s degree in software engineering or CS, or proven equivalent.
• Hands-on experience deploying ML solutions in production.
• Advanced Python, SQL and Spark skills.
• Strong tooling knowledge: Docker, Git, Bash, FastAPI, SageMaker Studio, Airflow, CloudFormation.
• Solid data architectures and systems integration understanding.
• Problem solving mindset and collaborative communication.
• Experience with AWS and GCP cloud platforms.
• Team player with proactive learning and good communication.

Responsibilities

• Architect and develop end-to-end ML solutions.
• Manage and automate the ML lifecycle from dev to prod.
• Collaborate with data engineers and scientists to scale solutions.
• Evaluate cloud architectures for performance and cost.
• Align with business teams and propose technical solutions.
• Mentor and evangelize new ML developments.

Skills

Python

SQL

Spark

Docker

Git

Bash scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

AWS

GCP

Education

Bachelor's degree in Software Engineering or Computer Science

Tools

Docker

Git

Bash Scripting

FastAPI

SageMaker Studio

Airflow

CloudFormation

Job description

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.

What To Expect In This Role (Responsibilities)

• 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 highly scalable solutions and integrate them with other technical areas across the software development life cycle.
• Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.
• Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
• Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.

Requirements

• 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 (or similar to) 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 modern cloud platforms, specifically AWS and GCP.
• Soft Skills: 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 is a huge plus.

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.

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