Senior Machine Learning Engineer, Global Services Security Engineering

7 days ago

Greenway, Washington, D.C., United States Amazon Web Services, Inc. Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Global Services Security team at Amazon Web Services, Inc. This is an exciting opportunity to contribute to the development of AI/ML solutions that meet the needs of our customers.

Key Responsibilities
  • Design, build, and deploy end-to-end machine learning solutions in collaboration with product, engineering, and science teams.
  • 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.
  • Monitor and maintain deployed ML models and solutions.
About the Team

Our team is passionate about developing innovative AI/ML solutions that drive business value. We value diversity, inclusion, and collaboration, and we are committed to creating a workplace that is welcoming and supportive of all employees.

What We Offer
  • A competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • A collaborative and dynamic work environment.
  • Access to cutting-edge technology and tools.
  • A comprehensive training program to help you develop your skills and expertise.
Requirements
  • 6+ years of non-internship professional software development experience.
  • Experience with Python and frameworks such as Pytorch, TensorFlow.
  • Experience with serverless, event-driven architectures in AWS, including system design, development, and production operations.
  • Experience with infrastructure-as-code using AWS CDK, CloudFormation, or Terraform.
Preferred Qualifications
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar.
  • Experience with large-scale machine learning models and applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs.
Amazon is an Equal Opportunity Employer

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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