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Deep Learning Architect

hace 2 meses


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 team at Amazon Web Services (AWS). As a key member of our Generative AI Innovation Center, you will play a critical role in designing and implementing cutting-edge AI solutions for our customers.

Key Responsibilities
  • Design and develop large-scale AI systems using deep learning frameworks such as MXNet, TensorFlow, and PyTorch
  • Collaborate with cross-functional teams to integrate AI solutions into our customers' businesses
  • Develop and maintain high-quality AI models and algorithms
  • Work closely with customers to understand their AI needs and develop tailored solutions
  • Stay up-to-date with the latest advancements in AI and machine learning research
Requirements
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • At least 5 years of experience in designing and developing large-scale AI systems
  • Strong working knowledge of deep learning, machine learning, and statistics
  • Experience with cloud computing platforms such as AWS
  • Excellent communication and collaboration skills
Preferred Qualifications
  • Masters or PhD degree in Computer Science or a related field
  • Hands-on experience with deep learning frameworks and libraries
  • Strong understanding of cloud computing and data storage
  • Experience with agile development methodologies
About Amazon

Amazon is committed to innovation and customer satisfaction. We are a diverse and inclusive company that values creativity, collaboration, and continuous learning. Our team is passionate about using AI and machine learning to drive business growth and improve customer experiences.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented individual who is passionate about AI and machine learning, we encourage you to apply for this exciting opportunity.