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- 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.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.Why AWS
Work/Life BalanceMentorship and 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.London, GBR
- 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 communitiesOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).
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