Senior Specialist SA, AI/ML
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
(Specialist SA AI/ML) Amazon Web Services(AWS)(SA)AI/MLAI/ML
AI/MLAI/MLAWSAI/ML
AWSAWSAWS
SAAI/MLAWS
As a Machine Learning Specialist Solutions Architect (Specialist SA AI/ML) at Amazon Web Services (AWS) you will be part of the Solutions Architect (SA) team. With deep expertise in AI/ML workloads you will contribute to customers initiatives leveraging AI/ML technologies by maximizing the benefits of the cloud leading the resolution of business and technical challenges.
AI/ML technologies are highly sought-after and customers have high interest and expectations. Your mission is to enable more customers to run AI/ML workloads on AWS by solving their technical and business challenges in adopting AI/ML technologies. You will provide support for customers developing machine learning models or those seeking to create value by leveraging existing models. Additionally you may have opportunities for external outreach such as speaking at events and webinars.
AWS cloud technologies continuously evolve based on customer feedback and requests. AWS offers a wide range of services so it is essential to keep learning about the latest technologies and trends even after joining. At the time of application having AWS or cloud technology knowledge is not a prerequisite. Instead we value your willingness to acquire cloud knowledge as part of your continuous skill development after joining.
Through your activities as an SA you will deepen your understanding of customer trends in AI/ML adoption and technology development trends while gaining exposure to various AWS cloud technologies sparking your interest and deepening your learning. Your existing technical expertise and experience will undoubtedly be valuable. Engaging in discussions with diverse customers and contributing to the realization of value through advanced technology adoption will provide a unique experience in this role.
Key job responsibilities
AI/MLAWSSA
AWSAWS
AWSAWS
You will primarily engage with Japanese customers advocating the value of running AI/ML workloads on AWS and addressing related challenges. You will collaborate with customer-facing teams including account managers and other SAs to conduct customer-facing activities.
You will create reference architectures best practices and other content sharing information through external seminars internal study sessions or internal document sharing. You will gather and organize information about new AWS services and features ensuring readiness to propose solutions to customers. Additionally you will continuously keep up with the rapidly evolving machine learning technologies and industry trends raising your voice and sometimes leading initiatives on actions AWS should take.
You will provide customer feedback to AWS product development teams contributing to AWSs efforts to deliver optimal services for customers. You may also collaborate with global teams and participate in company-wide initiatives.
Starting with your areas of expertise you will gradually expand your coverage through daily work and experience accumulation.
About the team
AWS
1on1SA
AWS
We are challengers. The reasons why diverse customers use AWS are also diverse and there is no set way to support this. We continue to learn by constantly challenging ourselves and exploring more optimal ways to provide insights and drive unique thinking for our customers.
To serve our diverse customers we bring together members with diverse backgrounds leveraging each others strengths while mutually influencing and continuing to learn from one another.
Through post-hire mentoring regular 1-on-1s with managers periodic team retrospectives and exchanging ideas with other SAs within the company we support learning new skills and growing.
We love technology. We have a healthy curiosity about AWS and technology in general and discuss it as a team.
AWS: AI/ML7(Over 7 years of experience in research and development service implementation and system development utilizing AI/ML technologies.)
- (Ability to communicate effectively with customers and explain advanced technologies in plain language)
- (Ability to work across internal and external organizations independently.)
- (Curiosity and habit of continuous learning about evolving cloud technologies and new technology domains)
- (English proficiency for reading and writing and willingness to engage in conversations without hesitation even if not fluent)
- (Experience in developing machine learning models and distributed training of large-scale models)
- (Experience in developing and operating commercial systems incorporating machine learning models)
- AI/ML(Experience in defining business challenges to be solved with the aim of solving them using AI/ML technologies)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
AI/MLAI/MLAWSAI/ML
AWSAWSAWS
SAAI/MLAWS
As a Machine Learning Specialist Solutions Architect (Specialist SA AI/ML) at Amazon Web Services (AWS) you will be part of the Solutions Architect (SA) team. With deep expertise in AI/ML workloads you will contribute to customers initiatives leveraging AI/ML technologies by maximizing the benefits of the cloud leading the resolution of business and technical challenges.
AI/ML technologies are highly sought-after and customers have high interest and expectations. Your mission is to enable more customers to run AI/ML workloads on AWS by solving their technical and business challenges in adopting AI/ML technologies. You will provide support for customers developing machine learning models or those seeking to create value by leveraging existing models. Additionally you may have opportunities for external outreach such as speaking at events and webinars.
AWS cloud technologies continuously evolve based on customer feedback and requests. AWS offers a wide range of services so it is essential to keep learning about the latest technologies and trends even after joining. At the time of application having AWS or cloud technology knowledge is not a prerequisite. Instead we value your willingness to acquire cloud knowledge as part of your continuous skill development after joining.
Through your activities as an SA you will deepen your understanding of customer trends in AI/ML adoption and technology development trends while gaining exposure to various AWS cloud technologies sparking your interest and deepening your learning. Your existing technical expertise and experience will undoubtedly be valuable. Engaging in discussions with diverse customers and contributing to the realization of value through advanced technology adoption will provide a unique experience in this role.
Key job responsibilities
AI/MLAWSSA
AWSAWS
AWSAWS
You will primarily engage with Japanese customers advocating the value of running AI/ML workloads on AWS and addressing related challenges. You will collaborate with customer-facing teams including account managers and other SAs to conduct customer-facing activities.
You will create reference architectures best practices and other content sharing information through external seminars internal study sessions or internal document sharing. You will gather and organize information about new AWS services and features ensuring readiness to propose solutions to customers. Additionally you will continuously keep up with the rapidly evolving machine learning technologies and industry trends raising your voice and sometimes leading initiatives on actions AWS should take.
You will provide customer feedback to AWS product development teams contributing to AWSs efforts to deliver optimal services for customers. You may also collaborate with global teams and participate in company-wide initiatives.
Starting with your areas of expertise you will gradually expand your coverage through daily work and experience accumulation.
About the team
AWS
1on1SA
AWS
We are challengers. The reasons why diverse customers use AWS are also diverse and there is no set way to support this. We continue to learn by constantly challenging ourselves and exploring more optimal ways to provide insights and drive unique thinking for our customers.
To serve our diverse customers we bring together members with diverse backgrounds leveraging each others strengths while mutually influencing and continuing to learn from one another.
Through post-hire mentoring regular 1-on-1s with managers periodic team retrospectives and exchanging ideas with other SAs within the company we support learning new skills and growing.
We love technology. We have a healthy curiosity about AWS and technology in general and discuss it as a team.
AWS: AI/ML7(Over 7 years of experience in research and development service implementation and system development utilizing AI/ML technologies.)
- (Ability to communicate effectively with customers and explain advanced technologies in plain language)
- (Ability to work across internal and external organizations independently.)
- (Curiosity and habit of continuous learning about evolving cloud technologies and new technology domains)
- (English proficiency for reading and writing and willingness to engage in conversations without hesitation even if not fluent)
- (Experience in developing machine learning models and distributed training of large-scale models)
- (Experience in developing and operating commercial systems incorporating machine learning models)
- AI/ML(Experience in defining business challenges to be solved with the aim of solving them using AI/ML technologies)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Key Skills
- Computer Hardware
- Mac Os
- Manufacturing & Controls
- Root cause Analysis
- Windows
- Customer Support
- Remote Access Software
- Operating Systems
- Encryption
- Remedy
- Chemistry
- Cerner
About Company
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