Deep Learning Architect, AWS Gen AI Innovation Center

hace 1 mes


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

We are seeking a highly skilled Deep Learning Architect to join our AWS Gen AI Innovation Center team. As a key member of our team, you will be responsible for designing and building large-scale enterprise AI systems in a production environment. Your expertise in deep learning, machine learning, and generative AI will be instrumental in helping our customers achieve transformational business outcomes.

Key Responsibilities:

  • Design and build large-scale enterprise AI systems in a production environment
  • Develop and deploy machine learning models using deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar
  • Collaborate with cross-functional teams to identify and prioritize AI opportunities
  • Communicate technical and non-technical audiences, including executive level stakeholders or clients

Requirements

To be successful in this role, you will need:

  • 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 (e.g., for training, fine tuning, and inference)
  • Experience coding in Python, R, Matlab, Java or other modern programming languages

Preferred Qualifications

We are looking for candidates with:

  • 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 like MXNet, Tensorflow, Caffe, Torch, Theano or similar and deep learning (e.g., CNN, RNN, LSTM)

About Us

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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