Specialist Solutions Architect - Artificial Intelligence & Machine Learning, MENAT Specialist Sales
Job Details
Full Job Description
Are you passionate about Machine Learning, Deep Learning (ML)
and Artificial Intelligence (AI)? Are you excited by the challenge of
driving production usage of Machine Learning and AI? Come join
us!
Amazon Web Services (AWS) is looking for an experienced AI &
ML Specialist Solutions Architect (SA), who will be the Subject Matter
Expert (SME) for designing machine learning solutions that leverage
AWS services to automate solutions and drive down costs for customers.
The Specialist Solutions Architect will partner closely with the Data
and Analytics Business Development and Sales teams, to enable
large-scale customer use cases and drive the adoption and revenue of
AWS ML/AI solutions. The Machine Learning Specialist SA will develop
white papers, blogs, reference implementations, and presentations to
enable customers and partners to fully leverage AWS ML/AI services.
The SA will also create field enablement materials for the broader SA
population, to help other SAs understand how to integrate AWS ML
solutions into customer architectures.
AWS Sales, Marketing, and
Global Services (SMGS) is responsible for driving revenue, adoption,
and growth from the largest and fastest growing small- and mid-market
accounts to enterprise-level customers including public sector. The
AWS Global Support team interacts with leading companies and believes
that world-class support is critical to customer success. AWS Support
also partners with a global list of customers that are building
mission-critical applications on top of AWS services.
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 teams
• Open to travel up to
25%
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
Amazon Web Services (AWS) is
the world’s most comprehensive and broadly adopted cloud platform. We
pioneered cloud computing and never stopped innovating — that’s why
customers from the most successful startups to Global 500 companies
trust our robust suite of products and services to power their
businesses.
Work/Life Balance
We value work-life harmony.
Achieving success at work should never come at the expense of
sacrifices at home, which is why flexible work hours and arrangements
are part of our culture. When we feel supported in the workplace and
at home, there’s nothing we can’t achieve in the cloud.
Inclusive
Team Culture
Here at AWS, it’s in our nature to learn and be
curious. Our employee-led affinity groups foster a culture of
inclusion that empower us to be proud of our differences. Ongoing
events and learning experiences, including our Conversations on Race
and Ethnicity (CORE) and AmazeCon (gender diversity) conferences,
inspire us to never stop embracing our uniqueness.
Mentorship 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.
We
are open to hiring candidates to work out of one of the following
locations:
Riyadh, SAU
- 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)
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Specialist Solutions Architect - Artificial Intelligence & Machine Learning, MENAT Specialist Sales
AWS EMEA SARL (Saudi Arabia Branch) - H11
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