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Artificial Intelligence (AI) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.Key job responsibilities- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts- Mentor and develop members on the teamAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.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.
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in cloud architecture and implementation, preferably with AWS
- 5+ years experience related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Able to communicate effectively in English, within technical and business settings.
- AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2)
- AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Able to communicate effectively in Spanish
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