Senior Deep Learning Architect

hace 5 días

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

We are seeking a highly skilled Senior Deep Learning Architect to join our Amazon Web Services Mexico S. de R.L. de C.V. team. As a key member of our Cloud AI Innovation Center, you will be responsible for designing and implementing cutting-edge Machine Learning solutions for our customers.

Key Responsibilities
  • Design and develop scalable cloud-based Machine Learning environments using Amazon SageMaker and Amazon Bedrock.
  • Collaborate with our data scientists to create and fine-tune Machine Learning models, provide data labeling support, and evaluate workflows for Generative AI solutions.
  • Work closely with customers to understand their business needs and implement tailored Machine Learning ecosystems.
  • Analyze large datasets to automate and optimize key business processes.
  • Ensure the system's scalability and ability to handle high-demand workloads to support AI initiatives.
About the Team

Our Cloud AI Innovation Center is a team of strategists, data scientists, engineers, and solution architects working together to help customers implement AI solutions and realize business opportunities. We are committed to furthering our culture of inclusion and diversity, and we have a range of employee-led affinity groups and innovative benefit offerings.

What We Offer
  • A dynamic and fast-paced work environment with opportunities for growth and development.
  • A competitive salary and benefits package.
  • The chance to work on cutting-edge AI projects and make a real impact on our customers' businesses.
  • A collaborative and inclusive team culture.
Requirements
  • Bachelor of Science degree in Computer Science or related field (or equivalent experience).
  • At least 5 years of experience in designing, building, and 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 Machine Learning solutions.
  • Experience coding in Python, R, Matlab, Java, or other modern programming languages.
  • Experience communicating across technical and non-technical audiences.
Preferred Qualifications
  • Masters or PhD degree in Computer Science or related 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.
  • The motivation to achieve results in a fast-paced environment.

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