Amazon Senior Deep Learning Architect Generative AI Innovation Center 

Singapore 

794729280

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. 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.As a Deep Learning Architect, you will
About the team
Diverse 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.
Why AWS?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

- Bachelor's degree in Computer Science or a related field
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Experience managing and deploying ML products
- 4+ years of building machine learning models for business application experience
- 5+ years of leading and delivering enterprise-level IT engagements experience

- Master's degree in computer science, computer engineering, or related field, or PhD
- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 8+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS