Deep Learning Architect, Generative AI
Amazon Web Services (AWS)Job Description
The Generative AI Innovation Center at AWS is seeking a talented Deep Learning Architect to join our team in Rome, Italy. This role is pivotal in helping AWS customers accelerate the use of Generative AI and realize transformational business opportunities. You will be part of a cross-functional team of ML scientists, engineers, architects, and strategists working closely with customers to build bespoke solutions that harness the power of generative AI.
Key Responsibilities
- Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
- Work across customer engagements to understand adoption patterns for generative AI and rapidly share them across teams and leadership.
- Interact directly with customers to understand their business problems, aid in the implementation of generative AI solutions, and deliver briefings and deep dive sessions.
- Create and deliver reusable technical assets that help accelerate the adoption of generative AI on the AWS platform.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
About The Team
The Generative AI Innovation Center pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:
- Imagine new applications of generative AI to address customer needs.
- Identify new use cases based on business value.
- Integrate Generative AI into existing applications and workflows.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
At AWS, we value diverse experiences and encourage candidates to apply even if they do not meet all of the qualifications and skills listed. We foster a culture of inclusion that empowers us to be proud of our differences.
Mentorship & Career Growth
We offer endless knowledge-sharing, mentorship, and other career-advancing resources to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony and strive for flexibility as part of our working culture.
Basic Qualifications
- Experience in design, implementation, or consulting in applications and infrastructures.
- Bachelor’s degree in computer science, engineering, mathematics, or equivalent experience.
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
- Knowledge of deep learning and experience hosting and deploying ML solutions.
Preferred Qualifications
- Knowledge of Generative AI and hands-on experience building applications with large foundation models.
- Knowledge of AWS platform and tools.
- Hands-on experience building ML solutions on AWS.
- Experience in professional software development.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
Benefits Extracted with AI
- Mentorship & Career Growth
- Inclusive Team Culture
- Work/Life Balance
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