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Senior Deep Learning Architect, AI Innovation Center
hace 2 meses
We are seeking a highly skilled Senior Deep Learning Architect to join our AI Innovation Center at Amazon Web Services Mexico S. de R.L. de C.V. -...
Key Responsibilities- Design and implement scalable cloud environments for customers to label data, build, train, tune, and deploy their machine learning models using Amazon SageMaker and Amazon Bedrock.
- Collaborate with data scientists to create and fine-tune scalable machine learning solutions, provide data labeling support, and evaluate workflows for AI initiatives.
- Interact with customers directly to understand their business problems, provide guidance on implementing their machine learning ecosystems, and ensure successful project outcomes.
- Analyze and extract relevant information from large datasets to help automate and optimize key business processes.
- Ensure that the system is scalable and capable of handling large datasets and high-demand workloads to support AI initiatives.
The AI Innovation Center at Amazon Web Services is a strategic team that helps customers implement AI solutions and realize transformational business opportunities. We work closely with customers to build bespoke solutions that harness the power of AI and machine learning.
What We Offer- A dynamic and innovative work environment that encourages collaboration and knowledge-sharing.
- Opportunities for professional growth and development, including mentorship and training programs.
- A comprehensive benefits package, including flexible work arrangements and a competitive salary.
- The chance to work on cutting-edge AI projects and contribute to the development of new technologies.
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
- 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 experience in AWS or other large-scale cloud providers.
- Experience hosting and deploying machine learning solutions (e.g., for training, fine-tuning, and inferences).
- Masters or PhD degree in Computer Science, or related technical, math, or scientific field.
- Strong working knowledge of deep learning, machine learning, and statistics, with hands-on experience building models with deep learning frameworks like MXNet, TensorFlow, Caffe, Torch, Theano, or similar.
- Hands-on experience with deep learning (e.g., CNN, RNN, LSTM).
- Experience with statistical modeling/machine learning.
