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As an Azure AI & ML Specialist in the AWS Cloud Intelligence team, you will be the expert who advises customers on the differences between Azure and AWS AI and Machine Learning offerings. You will help these customers with migrations, multi-cloud solutions, or architecting new cloud based solutions related to artificial intelligence, machine learning, and deep learning.
Key job responsibilities
- Autonomously manage a broad pipeline of technical engagements requiring bias to action, swift delivery, and frequent reprioritization
A day in the life
Diverse Experiences: 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.
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS technologies.
- 8+ years of customer-facing experience as a solutions architect, data scientist, technical consultant, or technical pre-sales
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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