Amazon AI/ML Specialist Solutions Architect AGS MENAT 

Saudi Arabia, Riyadh Region, As Sayh 

24285389

Key job responsibilities
Key job responsibilities
Roles and Responsibilities
• Evangelizing current and future AWS services and technologies
• Building and maintaining technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS services and technologies
• Work in collaboration with the sales team to create and execute business plans to accelerate the adoption of AWS, exceed revenue goals, and drive customer satisfaction
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Identifying customer requirements and providing 'voice of the customer' feedback into appropriate AWS services teamsAbout 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.

- Experience in design/implementation/consulting of Machine Learning/AI/Deep Learning solutions
- Strong expertise with classification models
- Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
- Deep experience with data modeling and Big Data solution stacks, using and adapting to new technologies
- Technical degree with statistical fundamentals required

- Professional experience architecting/operating solutions built on AWS
- Technical consulting and architecture with large-scale engagements
- Experience communicating effectively across internal and external organizations, for complex mission-critical solutions
- Experience with predictive analytics, semi- and unstructured data
- Experience deploying production-grade machine learning solutions on public cloud platforms (AWS, GCP, Azure)