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Summary
About the Role
About You
- 5+ years of cloud-based solution experience (AWS or equivalent), system, network, and operating system experience.
- Bachelor's degree in computer science, engineering, mathematics, or equivalent.
- Experience in software development with an object-oriented language.
- 4+ years of experience hosting and deploying GenAI/ML solutions.
- AWS Professional level certification.
- Masters or PhD degree in computer science or related technical, math, or scientific field.
- Strong working knowledge of deep learning, machine learning, and statistics.
- Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
- Hands-on experience with deep learning techniques (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
- Strong communication skills with attention to detail and ability to convey complex concepts to non-experts.
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Benefits
- Competitive salary ranging from $138k to $239k based on geographic location and experience.
- Comprehensive benefits package including medical, financial, and other benefits.
- Opportunities for mentorship and career growth.
- Flexible work-life balance.
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.