Senior ML Engineer: MLOps, Cloud & Production

Prometeo Talent

Municipio de Rincón de los Sauces

Remote

ARS 1,500,000 - 2,500,000

Full time

5 days ago
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Benefits offered by this job

Long‑term contract engagement
High visibility role
Influence on technical strategy
Collaborative international team
Flexible, dynamic environment

Job summary

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

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

Qualifications

  • Bachelor’s degree in software engineering/computer science or equivalent experience
  • Proven hands‑on experience deploying ML solutions in production environments

Responsibilities

  • Architect and develop end‑to‑end ML solutions
  • Manage and automate the ML lifecycle from development to production
  • Collaborate with data engineers and data scientists to build scalable solutions
  • Evaluate cloud architectures for performance and cost‑efficiency
  • Align technical work with business challenges and communicate clearly
  • Mentor and guide teams on new developments

Skills

Python
SQL
Spark
MLOps
AWS
GCP
Docker
Git
FastAPI
Airflow
Sagemaker Studio
CloudFormation

Education

Bachelor's degree in software engineering or computer science

Tools

Docker
Git
Bash Scripting
FastAPI
Sagemaker Studio
Airflow
CloudFormation

Job description

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

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

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