Senior AWS Python Data Engineer for ML Pipelines

Ethereum Technologies LLC

Houston (TX)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Ethereum Technologies LLC in Houston, Texas is looking for an experienced software engineer to collaborate with data scientists and build scalable machine learning and data systems. You will develop and maintain high-performance data pipelines, convert models into production-ready services, and implement Infrastructure as Code using AWS services.

The ideal candidate should have over 5 years of experience in Python, strong background in cloud engineering with AWS, and familiarity with data-driven applications. Join us to work on cutting-edge technology solutions in a supportive and inclusive environment.

Qualifications

  • 5+ years of backend development experience with Python.
  • Experience in deploying machine learning models in production environments.
  • Understanding of software engineering principles and cloud infrastructure.

Responsibilities

  • Collaborate with teams to build scalable ML and data systems.
  • Develop high-performance data pipelines and machine learning infrastructure.
  • Convert machine learning models into production-ready services.

Skills

Python
Cloud Engineering on AWS
Data Pipeline Optimization
Machine Learning Deployment
RESTful APIs
Infrastructure as Code
Graph Technologies

Tools

AWS SageMaker
Terraform
CloudFormation

Job description

Ethereum Technologies LLC in Houston, Texas is looking for an experienced software engineer to collaborate with data scientists and build scalable machine learning and data systems. You will develop and maintain high-performance data pipelines, convert models into production-ready services, and implement Infrastructure as Code using AWS services.

The ideal candidate should have over 5 years of experience in Python, strong background in cloud engineering with AWS, and familiarity with data-driven applications. Join us to work on cutting-edge technology solutions in a supportive and inclusive environment.

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