Senior Deep Learning Architect, Proserve Genai

1 month ago

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

We are seeking a highly skilled Senior Deep Learning Architect to join our Proserve Genai team 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.

As a Senior Deep Learning Architect, you will work closely with our data scientists and engineers to create and fine-tune scalable ML and Generative AI solutions for business problems. You will also interact with customers directly to understand their business needs and help them implement their ML ecosystem.

Key Responsibilities:

  • Design and implement Generative AI solutions using AWS services such as SageMaker and Bedrock
  • Collaborate with data scientists to create and fine-tune scalable ML and Generative AI solutions
  • Interact with customers 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

About Amazon Web Services

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Our team is passionate about innovation and customer success. We believe in empowering our employees to learn and grow, and we offer a range of training and development opportunities to help you achieve your career goals.

Basic Qualifications:

  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
  • Experience coding in Python, R, Matlab, Java or other modern programming language
  • 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience
  • 4+ years of experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences)
  • 5+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience

Preferred Qualifications:

  • Masters or PhD degree in computer science, or related technical, math, or scientific field
  • Strong working knowledge of deep learning, machine learning, and statistics
  • Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
  • Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does 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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