Senior Deep Learning Architect
hace 4 semanas
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.
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.
- 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.
- 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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Senior Deep Learning Architect
hace 1 mes
Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. - C68 A tiempo completoAbout the RoleWe 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 team, you will be responsible for designing and implementing cutting-edge AI solutions for our customers.Key ResponsibilitiesDesign and develop large-scale AI systems using deep learning...
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Senior Deep Learning Architect
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Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. - C68 A tiempo completoAbout the RoleWe 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 team, you will be responsible for designing and implementing cutting-edge AI and machine learning solutions for our customers.Key ResponsibilitiesDesign and develop scalable cloud-based...
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Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. A tiempo completoAbout the RoleWe are seeking a highly skilled Deep Learning Architect to join our AWS Gen AI Innovation Center team. As a key member of our team, you will design and implement cutting-edge Generative AI solutions for our customers.With a strong background in deep learning, machine learning, and statistics, you will work closely with our customers to...
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Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. - C68 A tiempo completoAbout the RoleWe 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 ResponsibilitiesUse ML and Generative AI tools, such as Amazon SageMaker and...
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