Amazon Deep Learning Architect Gen AI Innovation Center 

Mexico, Mexico City 

340758730

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilitiesAnalyze 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.A day in the life
Work/Life Balance
Sales, Marketing and Global Services (SMGS)Mexico City, DIF, MEX

- 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 language
- Experience with public cloud computing experience in AWS or other large scale cloud providers;
- Experience hosting and deploying ML 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
- 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)
- Strong communication and data presentation skills
- The motivation to achieve results in a fast-paced environment
- Experience with statistical modelling / machine learning
- Strong attention to detail
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Ability to think creatively and solve problem