Generative AI Specialist, Generative AI
1 month ago
Job Description
Are you excited about working with cutting-edge Generative AI algorithms to solve real-world problems? Join the Generative AI Innovation Center at AWS, where you'll collaborate with a team of strategists, data scientists, engineers, and solution architects to build bespoke solutions using the power of generative AI.
Key Job Responsibilities
- Use ML and Generative AI tools like Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for customers
- Collaborate with data and applied scientists to create scalable ML and Generative AI solutions
- Engage with customers to understand business problems and assist in implementing their ML ecosystem
- Analyze historical data to automate and optimize key processes
- Work with various teams to drive model implementations and develop new algorithms
About the Team About AWS
Why Choose AWS?
AWS is the leading cloud platform trusted by startups to Global 500 companies for its innovative products and services. Embrace our inclusive team culture that fosters curiosity and diversity, offering mentorship, career growth, and a supportive work-life balance.
Amazon Generative AI Innovation Center
Accelerate enterprise innovation with Generative AI at the GAIIC, where customers like Highspot, Lonely Planet, Ryanair, and Twilio collaborate to develop generative solutions. The Public Sector team focuses on unique challenges and opportunities for public sector customers.
Amazon is committed to diversity and inclusivity, providing an equal opportunity workplace. Learn more about compensation and benefits at Amazon and apply now to be a part of our dynamic team
Locations: Beijing, Shanghai, Shenzhen
Basic Qualifications
- Master's degree in Computer Science or related field
- Experience in coding with Python, R, Matlab, or Java
- 5+ years of experience in ML solutions deployment
- Understanding of deep learning and GenAI models
Preferred Qualifications
- PhD in computer science or related field
- Strong knowledge of deep learning and statistics
- Experience with AWS services and cloud providers
- Excellent communication skills and attention to detail
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