Senior Deep Learning Architect

hace 4 semanas

Xico, México Amazon A tiempo completo
Unlock the Power of Generative AI

Are you ready to push the boundaries of Machine Learning and AI? Do you want to apply cutting-edge Generative AI algorithms to drive real-world impact? The Generative AI Innovation Center at Amazon is a pioneering team that helps customers harness the potential of Generative AI to transform their businesses.

We're seeking top architects, system and software engineers who can leverage ML, Generative AI, and other techniques to design, implement, and fine-tune state-of-the-art solutions for complex problems. As a member of our team, you'll collaborate with data scientists to create scalable ML models, provide data labeling support, and evaluate workflows for Generative AI solutions.

Key responsibilities include:

  • Using ML and Generative AI tools to provide a scalable cloud environment for customers to label data, build, train, tune, and deploy their models.
  • Collaborating with data scientists to create and fine-tune scalable ML models, provide data labeling support, and evaluate workflows for Generative AI solutions.
  • Interacting with customers directly to understand business problems, help, and aid them in implementing their ML ecosystem.
  • Analyzing and extracting relevant information from large amounts of historical data to help automate and optimize key processes.
  • Ensuring the system is scalable and capable of handling large datasets and high-demand workloads to support Gen AI initiatives.

BASIC QUALIFICATIONS:

  • 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, Matlab, Java, or other modern programming language.
  • Experience with public cloud computing experience in AWS or other large-scale cloud providers.
  • Experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences).

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 and hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano, or similar.
  • Hands-on experience with deep learning (e.g., CNN, RNN, LSTM).
  • Experience with statistical modeling/machine learning.

Amazon is an Equal Opportunity Employer – Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation/Age.

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