AI Innovation Specialist
hace 3 días
Company Overview
At Amazon, we're pushing the boundaries of innovation in the field of Generative Artificial Intelligence (AI). Our AWS Sales, Marketing, and Global Services team drives revenue, adoption, and growth from small- and mid-market accounts to enterprise-level customers, including the public sector.
About the Role
We're seeking an experienced Applied Scientist to join our Generative AI Innovation Center team. As a key member of this team, you'll collaborate with technology and business teams to design, develop, and implement state-of-the-art solutions leveraging cutting-edge generative AI algorithms.
Key Responsibilities:
- Research, design, and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand adoption patterns for generative AI and rapidly share insights across teams and leadership
- Interact with customers directly to understand their business problems, aid them in implementing generative AI solutions, and deliver briefing and deep dive sessions
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
- Provide customer and market feedback to Product and Engineering teams to help define product direction
BASIC QUALIFICATIONS
- 5+ years of building machine learning models or developing algorithms for business applications
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field
- Knowledge of programming languages such as C/C++, Python, Java, or Perl
- Proven knowledge of deep learning and experience hosting and deploying ML solutions
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field
- Working knowledge of generative AI and hands-on experience in prompt engineering, deploying, and hosting Large Foundational Models
- Hands-on experience building models with deep learning frameworks like TensorFlow, PyTorch, or MXNet
Estimated Salary: $140,000 - $180,000 per year
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