Senior Deep Learning Architect, AWS Gen AI Innovation Center

hace 4 días

Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. - C68 A tiempo completo
About the Role

We are seeking a highly skilled Senior 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, building, and operating large-scale enterprise IT systems in a production environment.

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, provide data labeling support, and evaluate workflows for Generative AI solutions.
  • 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.
  • Ensure the system is scalable and capable of handling large datasets and high-demand workloads to support Gen AI initiatives.
About Us

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

Basic Qualifications
  • 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.
  • Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients.
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 like MXNet, TensorFlow, Caffe, Torch, Theano, or similar and deep learning (e.g., CNN, RNN, LSTM).

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