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Generative AI Innovation Specialist

2 months ago

Shanghai, Shanghai, China Amazon Information Service (Beijing) Co., Ltd. (Shanghai Branch) Full time
About the Role

We are seeking a highly skilled Generative AI Innovation Specialist to join our team at Amazon Information Service (Beijing) Co., Ltd. (Shanghai Branch). 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
  • Develop and deploy scalable cloud environments for customers to label data, build, train, and deploy their models using Amazon SageMaker and Amazon Bedrock.
  • Collaborate with data and applied 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 dedicated to helping customers accelerate enterprise innovation and success with Generative AI. We are committed to a diverse and inclusive workplace to deliver the best results for our customers.

Requirements
  • Master 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 languages.
  • 1+ year of experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences).
  • Basic understanding of deep learning (e.g., CNN, RNN, LSTM, Transformer), Large Language Models, Large Multimodal Models, and other GenAI Models such as Stable Diffusion and their fine-tuning and distributed training strategies.
Preferred Qualifications
  • 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 or other large-scale cloud providers' services.
  • Experiences related to Large Language Models, Large Multimodal Models, or other GenAI Models such as Stable Diffusion and their fine-tuning and distributed training strategies.
  • Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts.