Offers “Amazon”

13 days agoAmazon

AI/ML Specialist

  • SINGAPORE
  • Marketing

Job description

DESCRIPTION

Job summary
Are you energised to create new markets for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technology? Do you love building new businesses?

AWS is seeking an AI/ML Go-To-Market (GTM) Specialist to define, build and lead the business development efforts at AWS to commercialise the AWS AI/ML platform. As an AI/ML Specialist you will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities for the AWS ML platform.

You will work directly with customers on a daily basis to help them select the right AWS AI/ML technologies. Your work will define and drive the process that the organisation follows to accelerate sales and partner engagements of the AWS AI/ML portfolio in your region and you will synthesise data and information gathered from these customers and partners into the AWS GTM strategy for machine learning to successfully commercialise the platform in the local market. This entails deriving succinct findings, developing strategic insights, and persuasively communicating those findings and perspectives from customer engagements to product and sales teams, including senior management.

You will join a team who are the outward face of AWS AI/ML across ASEAN and will define and execute the market development activities for AI/ML services including Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, Amazon Comprehend, and the bulk of the AWS AI/ML portfolio. You will leverage worldwide programs or campaigns and work closely with AWS Specialists for other technologies (Containers, Serverless, Analytics), sales, marketing, solutions architects, and partner teams, to position the AWS ML platform for customers and partners. You will also be helping AWS Sales become more comfortable with AI/ML use cases and technologies.

The ideal candidate will possess a business and machine learning or data analytics background, and will have a foundation of having directly driven customer engagements and interactions at the highest levels of large enterprises and technology partners. The candidate will have the technical depth and business experience to easily communicate the benefits of AI/ML services, platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives.

Additionally, the ideal candidate will have a demonstrated ability to think strategically and long-term in an ambiguous environment. The ideal candidate will be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, enterprise applications, and will have performed market analysis, deal negotiation and construction, field readiness, and business operations. Finally, the candidate will have a background that enables them to create scalable programs that apply holistic approaches to selling to enterprises and enterprise partners.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

PREFERRED QUALIFICATIONS

· Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.)
· 5+ years of industry experience in predictive modeling and analysis · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
· Consulting experience and track record of helping customers with their ML/AI needs
· Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
· Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
· Experience giving public presentations

What if I’m not an expert in all the above? That’s okay. We hire people who have a passion for learning, and are curious to build, learn and grow. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. This will include formal and on the job training, and a chance to learn and upskill through AWS certification courses and mentorship. You will learn from and collaborate with some of the brightest technical minds in the industry today. If you want to work with the best cloud technologies from the world’s leading cloud provider, apply now. We can’t wait to see what you build here. Come build the future with AWS.

CULTURE AND COMMITMENT TO INCLUSION, DIVERSITY & EQUITY

At AWS, we welcome all builders. We believe that technology should be built in a way that’s inclusive, accessible, and equitable. We’re committed to putting in the work for more equal representation.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Desired profile

BASIC QUALIFICATIONS

· 10+ years of technology related sales or business development experience
· BA/BS degree or equivalent experience required
· 10+ years’ experience in enterprise selling, outsourcing, management consulting or managed services (preferably cloud)
· 3+ years working domain experience in machine learning, artificial intelligence, or related technologies

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