Amazon Deep Learning Architect GenAI Innovation Center 

United States, California 

596976030

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 a deep learning architect capable of using Generative AI and other AI techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
In this role, you will:
• Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models
• Collaborate with our data scientists to create and fine tune scalable ML and Generative AI solutions for business problems
• Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Work closely with account team, applied/research scientist teams and product engineering teams to drive model implementations and new algorithms
A day in the life
Sales, Marketing and Global Services (SMGS)
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.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 of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- Relevant experience in building large scale enterprise IT systems in a production environment
- Experience coding in Python, R, Java or other modern programming language
- At least 1 year of public cloud computing experience in AWS or other large scale cloud providers
- At least 1 year of experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts