Machine Learning Engineer

Cashea; Municipio de Rincón de los Sauces; A distancia; ARS 151.576.000 - 235.784.000; Jornada completa

Descripción de la vacante

Coderio is seeking a Senior Machine Learning Ops Engineer for a remote, long‑term role. You will design and deploy end‑to‑end ML solutions, automate the ML lifecycle, and partner with data engineers and scientists to scale systems across cloud platforms.

You will own architecture decisions for AWS/GCP, drive cost‑efficient strategies, and mentor teams to adopt new developments in a fast‑paced environment.

Formación

• Bachelor’s degree in software engineering or computer science or proven equivalent data/ML experience.
• Hands-on experience deploying ML solutions to production environments.
• Strong Python, SQL and Spark fundamentals with production awareness.
• Familiarity with Docker, Git, Bash, FastAPI and cloud tooling (AWS/GCP).
• Ability to work with data engineers and scientists across teams.

Responsabilidades

• Architect and deploy end‑to‑end ML solutions in production.
• Automate ML lifecycle and promote efficient development-to-prod transitions.
• Collaborate with data engineers and scientists to scale solutions.
• Evaluate cloud architectures for performance and cost efficiency.
• Communicate complex concepts clearly and mentor teams.

Conocimientos

Python

SQL

Spark

ML/ML Ops concepts

Team collaboration

Educación

Bachelor’s degree in software engineering or computer science

Herramientas

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Descripción del empleo

Senior Machine Learning Ops Engineer – Remote – Coderio

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.

• 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.

• 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.

• Domain experience in payments or other complex financial systems is a huge plus.

• 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.

Salary: $0 - $0 a month

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.