Senior Deep Learning Architect, ProServe GenAI

3 days ago

Houston, Texas, United States Amazon Full time
About the Role

Amazon is seeking a highly skilled Senior Deep Learning Architect to join our ProServe GenAI team. As a key member of our team, you will be responsible for designing and implementing cutting-edge Generative AI solutions for our customers.

You will work closely with our data scientists and engineers to create and fine-tune scalable ML and Generative AI solutions for business problems. Your expertise in deep learning, machine learning, and statistics will be essential in helping our customers accelerate their enterprise innovation and success with Generative AI.

Key responsibilities include:

  • Designing and implementing scalable cloud-based solutions using AWS services such as SageMaker and Bedrock
  • Collaborating with data scientists to create and fine-tune ML and Generative AI solutions
  • Interacting with customers to understand their business problems and help them implement their ML ecosystem
  • Analyzing and extracting relevant information from large amounts of historical data to help automate and optimize key processes
  • Working closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms

About the Team

Our team is passionate about helping our customers succeed with Generative AI. We value diverse experiences and encourage candidates from all backgrounds to apply. If you're looking for a challenging and rewarding role that will allow you to grow and develop your skills, we'd love to hear from you.

What We Offer

As a Senior Deep Learning Architect at Amazon, you'll have the opportunity to work on cutting-edge projects, collaborate with a talented team, and develop your skills in a fast-paced and dynamic environment. We offer a competitive salary, comprehensive benefits, and a range of perks and rewards.

Requirements

To be successful in this role, you'll need:

  • A Bachelor of Science degree in Computer Science or a related field
  • Experience coding in Python, R, Matlab, Java, or other modern programming languages
  • 3+ years of cloud-based solution experience (AWS or equivalent)
  • 4+ years of experience hosting and deploying ML solutions
  • 5+ years of database experience (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)

Preferred Qualifications

We're looking for candidates with a strong background in deep learning, machine learning, and statistics. If you have experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2, that's a plus. We also value strong communication skills and the ability to convey rigorous mathematical concepts to non-experts.

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