מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, 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.Work/Life BalanceKey job responsibilities
- Thought Leadership – Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- - Relevant experience in machine learning model development lifecycle including (but not limited to) training, fine tuning feature engineering techniques and deployment options
- - Significant hands-on experience with python, R or other programming languages and independently building prototype applications
- - Significant experience building with libraries like PyTorch, Tensorflow, MxNet and ScikitLearn
- - Relevant experience working in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
- - Experience with IT development or implementation/consulting in the software or Internet industries
- - Deep understanding of neural networks like transformers and the ability to customize them based on a dataset and problem statement.
- - Significant experience in infrastructure architecture, database architecture and networking
- - Experience working with end user or developer communitiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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