Senior Deep Learning Architect

hace 4 semanas

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 team at Amazon Web Services Mexico S. de R.L. de C.V. - C68. As a key member of our Gen AI Innovation Center, you will play a critical role in designing and implementing cutting-edge Generative AI solutions for our customers.

Key Responsibilities
  • Design and develop scalable cloud environments for customers to label data, build, train, and deploy their models using Amazon SageMaker and Amazon Bedrock.
  • Collaborate with data scientists to create and fine-tune scalable ML solutions, provide data labeling support, and evaluate workflows for Generative AI solutions.
  • Interact with customers directly to understand their business problems and help them implement their ML ecosystems.
  • 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 the Team

Our team is passionate about leveraging the power of Generative AI to drive business transformation and innovation. We are a collaborative and fast-paced organization that values knowledge-sharing, mentorship, and career growth.

What We Offer
  • A dynamic and supportive work environment that fosters innovation and creativity.
  • Opportunities for professional growth and development through training, mentorship, and career advancement.
  • A comprehensive benefits package that includes flexible work hours, work-life balance, and a range of employee perks.
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 ML 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, or Theano.

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