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Deep Learning Architect, AWS Generative AI Innovation Center

2 months ago

Miami, Florida, United States Amazon Services Inc Full time
About the Role

We are seeking a highly skilled Deep Learning Architect to join our AWS Generative AI Innovation Center team. As a key member of our team, you will be responsible for designing and implementing cutting-edge Generative AI solutions for our customers.

Key Responsibilities
  • 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 customers directly to understand their business problems, help, and aid them in implementing 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 teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.
About the Team

Our team is a diverse group of strategists, data scientists, engineers, and solution architects working together to build bespoke solutions that harness the power of Generative AI. We help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.

What We Offer
  • A dynamic and fast-paced work environment that contributes to game-changing projects and technologies.
  • Opportunities to design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
  • A collaborative and inclusive team culture that fosters a culture of inclusion and empowers us to be proud of our differences.
  • Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
  • Endless knowledge-sharing, mentorship, and other career-advancing resources to help you develop into a better-rounded professional.
Basic Qualifications
  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
  • Experience coding in Python, R, Matlab, Java, or other modern programming language.
  • 1+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.
  • 2+ years of experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences).
  • 2+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience.
Preferred Qualifications
  • 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.
About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.