The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior experienced and motivated business-oriented AI/ML practitioner who possess a unique balance of business knowledge and Technology depth in Machine Learning with deliver implementation experience in the cloud.
AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.
This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex AI/ML workloads with our customers and partners.
Responsibilities include:
•Advise customer's technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way
•Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
•Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into deliver
•Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning
•Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten 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 16 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 fulfillment. 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Manila, PHL
BASIC QUALIFICATIONS
•Bachelor's Degree or equivalent experience in STEM.
•10+ years of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
•10+ years of experience in the industry as a ML practitioner
•Advanced level command of English language, reading, writing and speaking.
•Ability to think strategically about business, solutions and technical challenges.
•Strong communication and presentation skills
•A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
PREFERRED QUALIFICATIONS
•5+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and awareness of Generative AI trends, patterns, anti-patterns
•Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
•AWS Experience and Certifications, including implementation of cloud-based AI/ML solutions.
•Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
•Advanced degree desired (e.g., MBA, MS)
•communicate with local customers