Senior Deep Learning Architect, AI Innovation Center

hace 6 días


Ciudad de México, Ciudad de México Amazon A tiempo completo
About the Role

We are seeking a highly skilled Senior Deep Learning Architect to join our AI Innovation Center at Amazon. As a key member of our team, you will be responsible for designing and implementing cutting-edge AI solutions that drive business value for our customers.

Key Responsibilities
  • Design and develop scalable cloud-based AI environments for customers using Amazon SageMaker and Amazon Bedrock.
  • Collaborate with data scientists to create and fine-tune machine learning models, provide data labeling support, and evaluate workflows for AI solutions.
  • Interact with customers to understand their business needs and help them implement their AI ecosystems.
  • Analyze and extract relevant information from large datasets to automate and optimize key business processes.
  • Ensure that AI systems are scalable and capable of handling large datasets and high-demand workloads.
Requirements
  • Bachelor of Science degree in Computer Science or related technical field.
  • Relevant experience in building large-scale enterprise IT systems in a production environment.
  • Experience coding in Python, R, Matlab, Java, or other modern programming languages.
  • Experience with public cloud computing in AWS or other large-scale cloud providers.
  • Experience hosting and deploying machine learning solutions.
Preferred Qualifications
  • Masters or PhD degree in Computer Science or related technical field.
  • Strong working knowledge of deep learning, machine learning, and statistics.
  • Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano, or similar.
  • Experience with statistical modeling and machine learning.
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.



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