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Deep Learning Architect, AWS Gen AI Innovation Center

2 meses atrás


São Paulo, São Paulo, Brasil Amazon Tempo inteiro
About the Role

We are seeking a highly skilled Deep Learning Architect to join our team at the AWS Gen AI Innovation Center. 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
  • Design and develop large-scale Generative AI systems using deep learning frameworks such as MXNet, Tensorflow, and Caffe.
  • Collaborate with cross-functional teams to identify business opportunities and develop solutions that meet customer needs.
  • Develop and maintain technical expertise in machine learning, statistics, and computer science.
  • Communicate complex technical concepts to both technical and non-technical stakeholders.
  • Stay up-to-date with the latest advancements in Generative AI and machine learning.
Requirements
  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
  • At least 5 years of experience in designing, building, and/or operating large-scale enterprise IT systems in a production environment.
  • At least 3 years of public cloud computing experience in AWS or other large-scale cloud providers.
  • Relevant experience hosting and deploying ML solutions.
  • Experience coding in Python, R, Matlab, Java, or other modern programming languages.
  • Ability to communicate in a business setting in English and Spanish.
Preferred Qualifications
  • Masters or PhD degree in computer science, or related technical, math, or scientific field.
  • Strong working knowledge of deep learning, machine learning, generative AI, and statistics.
  • Hands-on experience building models with deep learning frameworks.
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.