Deep Learning Architect
Amazon Web Services (AWS)
Job Overview
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Job Description
Overview
Join Amazon Web Services (AWS) at the forefront of Machine Learning and AI as a Deep Learning Architect. Work in the AWS Gen AI Innovation Center to apply generative AI algorithms to real-world problems and drive transformational business opportunities.
Key Responsibilities
- Collaborate with AI/ML scientists and architects to design and evaluate generative AI solutions.
- Engage directly with customers to understand business challenges and guide solution implementation.
- Create best practice recommendations, tutorials, blog posts, sample code, and presentations.
- Provide customer and market feedback to influence product direction.
About the Team & Culture
The Gen AI Innovation Center team is composed of strategists, scientists, engineers, and architects who work closely with customers. The team values diverse experiences, inclusion, ongoing mentorship, and career growth. AWS supports a culture of work/life balance and offers flexibility to ensure a harmonious workplace.
Basic Qualifications
- Bachelor's degree in Computer Science or related field.
- 3+ years experience in designing, building and/or operating cloud solutions.
- 2+ years deploying ML solutions and using Python for model development.
- Technical client engagement and effective business communication in English.
Preferred Qualifications
- Masters or PhD in Computer Science or related field.
- Deep knowledge of deep learning, machine learning, generative AI, and statistics.
- Experience building generative AI applications on AWS (Amazon Bedrock, Amazon SageMaker).
- Ability to communicate with both technical and non-technical stakeholders.
Key Skills/Competency
- Deep Learning
- Machine Learning
- Generative AI
- Cloud Computing
- Python
- Architectural Design
- Customer Engagement
- Solution Development
- Technical Evangelism
- Research
How to Get Hired at Amazon Web Services (AWS)
- Research AWS culture: Understand Amazon values and innovation history.
- Tailor your resume: Highlight generative AI and ML projects.
- Emphasize cloud expertise: Showcase AWS cloud solution experience.
- Prepare examples: Demonstrate customer-centric problem solving.
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