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AI Solutions Designer

2 months ago

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

We are seeking a highly skilled Deep Learning Architect to join our team at Amazon Web Services, Inc. as part of the Gen AI Innovation Center. As a key member of our team, you will be responsible for designing and implementing cutting-edge Generative AI solutions for our customers.

Key Responsibilities
  • Design and develop scalable cloud environments for customers to label data, build, train, and deploy their models using Amazon SageMaker and Amazon Bedrock.
  • Collaborate with data scientists to create and fine-tune scalable machine learning models, provide data labeling support, and evaluate workflows for Generative AI solutions.
  • Interact with customers directly to understand their business problems and help them implement their machine learning ecosystems.
  • Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
  • Ensure the system is scalable and capable of handling large datasets and high-demand workloads to support Gen AI initiatives.
About the Team

Our team is dedicated to furthering our culture of inclusion and diversity. We have employee-led affinity groups, innovative benefit offerings, and host annual and ongoing learning experiences to foster a culture of inclusion.

Why AWS?

Amazon Web Services (AWS) 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 our customers' businesses.

What We Offer
  • A dynamic and inclusive work environment
  • Opportunities for career growth and development
  • A comprehensive benefits package
  • A chance to work on cutting-edge projects and technologies
Requirements
  • Bachelor of Science degree in Computer Science or related technical field
  • Experience coding in Python, R, Matlab, Java, or other modern programming language
  • 1+ year of public cloud computing experience in AWS or other large-scale cloud providers
  • 1+ year of experience hosting and deploying machine learning solutions