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Senior Machine Learning Engineer

2 weeks, 6 days ago
Argentina, Brazil, Uruguay
Contract
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS Bash Docker FastAPI Git Machine Learning MLOps Python SQL
Apply Now
Coderio

Coderio

Coderio specializes in providing on-demand, enterprise-level software development talent, enabling businesses to quickly assemble and scale their tech teams with experienced developers aligned to their time zones.

Internet Software & Services
51-250
Founded 2018
View All Jobs 15

Description

  • Architect and develop robust, end-to-end machine learning solutions.
  • Manage and automate the complete machine learning lifecycle from development through production.
  • Collaborate with data engineers and data scientists to build scalable solutions across the software development lifecycle.
  • Evaluate cloud architectures for performance, scalability, and cost efficiency.
  • Partner with teams and stakeholders to understand business challenges and propose technical solutions.
  • Communicate technical concepts clearly and help teams adopt new developments.

Requirements

  • Bachelor’s degree in software engineering or computer science, or equivalent experience in data engineering or machine learning.
  • Hands-on experience implementing and deploying machine learning solutions in production.
  • Advanced knowledge of Python, SQL, and Spark.
  • Experience with Docker, Git, Bash scripting, FastAPI, SageMaker Studio, Airflow, and CloudFormation or similar tools.
  • Strong understanding of data architectures and complex systems integration.
  • Ability to troubleshoot and resolve complex software system issues.
  • Extensive experience with modern cloud platforms, particularly AWS and GCP.
  • Strong teamwork, curiosity, self-learning ability, positive attitude, and communication skills.
  • Domain experience in payments or complex financial systems is preferred.

Benefits

  • Long-term contract with high impact and autonomy.
  • Strategic, high-visibility role within a modern engineering culture.
  • Opportunity to influence MLOps, scalable data architecture, and cloud cost-efficiency strategy.
  • Collaborative international team with strong technical leadership.
  • Remote-first, flexible, dynamic, and fast-paced work environment.
  • Fair compensation and opportunities for professional growth.

Interested in this position?

Apply directly on the company website

Apply Now

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