Amazon Web Services
Technology
SeniorDeepLearningArchitect,GenerativeAIInnovationCenter
“Senior Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services. Skills: Generative AI, Deep Learning, Machine Learning, Solution Architecture. Collaborate with AI/ML scientists and architects to research,. Interact with customers directly to understand their business”
What You'll Achieve.
Realize transformational business opportunities; Launch solutions at scale
Industry & Context.
Solve real world problems; Address real-world challenges; Navigate technical or business challenges
What They're Looking For.
Must Have
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience), 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment, 4+ years experience hosting and deploying ML solutions, 4+ years of hands on experience with Python to build, train, and evaluate models, 4+ years of technical client engagement experience
Nice to Have
Masters or PhD degree in computer science, or related technical, math, or scientific field, 3+ years experience working with deep learning, machine learning, generative AI, or statistics, Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker, Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients, Experience building cloud solutions with AWS
What You'll Do.
Collaborate with AI/ML scientists and architects to research
Interact with customers directly to understand their business
Aid customers in implementation of generative AI solutions
Brief customers on adoption patterns and paths to
Guide customers on adoption patterns and paths to
Create and deliver best practice recommendations
Create and deliver tutorials
Create and deliver blog posts
Create and deliver sample code
Create and deliver presentations adapted to technical
Provide customer and market feedback to product and
Design and run experiments
Research new algorithms
Find new ways of optimizing risk
implement and fine tune state-of-the-art solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer interaction
Communication Scope
Client presentations; Executive briefings
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