Senior Machine Learning Engineer, Global Services Security Engineering

5 hours ago


Alexandria, 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.

Key Responsibilities
  • Collaborate with product, engineering, and science teams to design and develop machine learning solutions
  • Optimize and scale machine learning models for production environments
  • Implement data pipelines and infrastructure for model training and serving
  • Work with data scientists and software engineers to integrate ML solutions into applications
  • Monitor and maintain deployed ML models and solutions
About the Team

Our team values diversity and inclusion, and we encourage candidates from all backgrounds to apply. We are committed to creating a workplace where everyone feels welcome and valued.

Why AWS

Amazon Web Services is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power businesses.

What We Offer
  • Competitive compensation and benefits package
  • Opportunities for career growth and development
  • Collaborative and inclusive work environment
  • Access to cutting-edge technology and tools
Requirements
  • 6+ years of non-internship professional software development experience
  • 6+ years of programming with at least one software programming language experience
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or MXNet
  • Strong understanding of cloud security and compliance
Preferred Qualifications
  • Bachelor's degree in computer science or equivalent
  • Experience with serverless, event-driven architectures in AWS
  • Hands-on experience building models with deep learning frameworks


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