Deep Learning Architect, AWS Gen AI Innovation Center

Key Skills

Aartificial intelligence, AWS, Caffe, CNNs, Deep Learning, Effective communication skills, Generative AI, Machine learning techniques, RNNs, TensorFlow, Theano

Job Description

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

BASIC QUALIFICATIONS

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
• At least 5 years of experience in designing, building, and/or 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 ML solutions (e.g., for training, fine tuning, and inference);
• Experience coding in Python, R, Matlab, Java or other modern programming languages;
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients;
• Ability to communicate in a business setting in English and Spanish.

PREFERRED QUALIFICATIONS

• Masters or PhD degree in computer science, or related technical, math, or scientific field
• Strong working knowledge of deep learning, machine learning, generative AI, and statistics
• Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar and deep learning (e.g., CNN, RNN, LSTM)
• The motivation to achieve results in a fast-paced environment