Amazon Generative AI Specialist GenAI Innovation Center 

China, Shanghai 

648780907

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
• Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models
• Collaborate with our data and applied scientists to create and fine tune scalable ML and Generative AI solutions for business problems
• Interact with customer directly to understand the business problem, help and aid them in implementation of 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 team, research scientist teams and product engineering teams to drive model implementations and new algorithmsDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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 language
- 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 finetuning and distributed training strategies

- 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 finetuning and distributed training strategies
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts