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Amazon Prototyping and Customer Engineer (Machine Learning) - AMAZON Web Services, Korea in Seoul, South Korea

Description

AWS enables companies of all sizes to rethink their relationship with technology. If you are excited by these opportunities to unshackle customers from traditional racks and wires and have relevant experience, please come join our team and let's cloudify the world! Opportunity like this comes once in a generation. Don't watch the history unfold from the sidelines - join us to write it!

Our team focuses on enabling our enterprise customers to experience how cloud helps them solve difficult problems quicker and easier. We are looking for people with diverse technology background who have a passion for building prototypes addressing variety of business and utilizing full spectrum of our cloud services. Similar teams in other parts of the world built prototypes that range from analyzing space photos in order to help farmers be more effective to optimizing supply chains using blockchain technology, to applying latest AI techniques to network security, to moving ecommerce application from raw metal to our managed container service. Each prototype is built to address specific customer needs and showcase an architecture that is ready to address customer's functional and non-functional requirements, such as scale, security, availability, and performance.

After joining our team, you will be provided with two months of ramp-up and a team of mentors to ensure you get off to a good start. After that, within the first six months, we will ask you to help your first 5-6 customers experiment with pushing the boundaries of what they thought was possible by utilizing our cloud services. Within first 12 months, you will have an opportunity to work with at least a dozen of Korean companies of various sizes, present at the next AWS Summits in Seoul and elsewhere in APAC, conduct internal training, and publish blogs and whitepapers. You will also have an opportunity to influence the direction of our products by providing actionable customer feedback to the product and engineering managers.

At AWS, Customer Obsession is in our DNA. In order to be successful in this role, you will need to become a trusted advisor to our customers and also to Earn Trust of AWS Solutions Architects, Sales, and Business Development, working together with them to ensure that our customers are successful when adopting our cloud platform. Bias for Action is a very important quality for a successful candidate in this role: when building prototypes, speed matters A LOT.

You will be part of a great team of very supportive people who will help you be successful, but also expect a lot of you. This role is not for everyone - we are looking for people who are self-driven, willing to take Ownership of things and see them through, able to Earn Trust of our customers and their colleagues by consistently delivering on their commitments. And, above all, we are looking for people who share our Customer Obsession.

If you want to be part of a once in a lifetime transformation in the IT industry and achieve more than you may think you are capable of - this is a perfect place for you! Come join us in bringing the cloud revolution to Korea!

About the team

Sales, Marketing and Global Services (SMGS)

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.

About AWS

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.

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.

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 & 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 Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

We are open to hiring candidates to work out of one of the following locations:

Seoul, KOR

Basic Qualifications

  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

  • 2+ years of design, implementation, or consulting in applications and infrastructures experience

  • 7+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred Qualifications

  • Experience of software development, AI/ML, Deep Learning and Generative AI

  • Experience migrating or transforming legacy customer solutions to the cloud

  • Experience working with AWS technologies from a dev/ops perspective

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