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Senior Machine Learning Engineer, Global Services Security Engineering

1 month ago

Woodbridge, Virginia, United States Amazon Web Services, Inc. Full time
About the Role

Amazon Web Services is seeking a highly skilled Senior Machine Learning Engineer to join the Security Innovation team in Global Services Security (GSS). As a key member of our team, you will be responsible for designing, building, and deploying end-to-end machine learning solutions to meet the needs of our customers.

You will work closely with product, engineering, and science teams to optimize and scale machine learning models for production environments, implement data pipelines and infrastructure for model training and serving, and collaborate with data scientists and software engineers to integrate ML solutions into applications.

Key Responsibilities:

  • Design and develop machine learning solutions to meet customer needs
  • Optimize and scale machine learning models for production environments
  • Implement data pipelines and infrastructure for model training and serving
  • Collaborate with data scientists and software engineers to integrate ML solutions into applications

About the Team

The Security Innovation team is responsible for delivering product-led, people-powered services that help our customers operate their businesses securely on AWS. We are accelerating our adoption of AI/ML and are looking for talented engineers to join our team.

What We Offer

At Amazon Web Services, we offer a dynamic and inclusive work environment that values diversity and innovation. We provide opportunities for professional growth and development, as well as a comprehensive benefits package.

Requirements

  • 6+ years of non-internship professional software development experience
  • Experience with machine learning frameworks such as PyTorch, TensorFlow
  • Experience with cloud-based technologies such as AWS
  • Strong communication and collaboration skills

Preferred Qualifications

  • 5+ years of experience developing and deploying large-scale machine learning models and/or applications in production
  • Experience with serverless, event-driven architectures in AWS
  • Experience with infrastructure-as-code using AWS CDK, CloudFormation, or Terraform