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Senior Deep Learning Architect

2 months ago

Arlington, Virginia, United States AmazonWebServices Full time
About the Role

We are seeking a highly skilled Senior Deep Learning Architect to join our Generative AI Innovation Center at Amazon Web Services. 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 ML and Generative AI solutions for business problems.
  • Interact with customers directly to understand their business needs and help them implement their ML ecosystem.
  • Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.
About the Team

Our team is diverse and inclusive, and we value diverse experiences. We encourage candidates from all backgrounds to apply, even if they don't meet all the qualifications and skills listed in the job description.

What We Offer

As a Senior Deep Learning Architect at Amazon Web Services, you will have the opportunity to work on cutting-edge projects, collaborate with top talent, and develop your skills in a fast-paced and innovative environment. We offer a competitive salary, equity, sign-on payments, and a full range of medical, financial, and other benefits.

Requirements
  • Bachelor of Science degree in Computer Science or related technical field (or equivalent experience).
  • Experience coding in Python, R, Matlab, Java, or other modern programming languages.
  • 1+ year of public cloud computing experience in AWS or other large-scale cloud providers.
  • 4+ years of experience hosting and deploying ML solutions.