Senior ML Specialist Solutions Architect, ML Service Solution Architects
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Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about Artificial Intelligence Machine Learning and Deep Learning Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS) Come join us!
At Amazon weve been investing deeply in artificial intelligence for over 20 years and many of the capabilities customers experience in our products are driven by machine learning. recommendations engine is driven by machine learning (ML) as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain forecasting and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air and the computer vision technology in our new retail experience Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning and its a big part of our heritage.
Within AWS were focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet PyTorch and TensorFlow 2) Machine Learning Platforms such as Amazon SageMaker for data scientists and 3) API-driven Services like Amazon Lex Amazon Polly Amazon Transcribe Amazon Comprehend and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
AWS is looking for a self-driven Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping customers in the MENA/SA design solutions that leverage our ML services. As part of the team you will work closely with customers to enable large-scale use cases design ML pipelines and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers to fully leverage AI/ML on AWS. Additionally as the voice of the customer you will work closely with the service teams and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the AI/ML space and will leverage this knowledge to help AWS customers in their selection process.
Key job responsibilities
- Thought Leadership Evangelize AWS ML services and share best practices through forums such as AWS blogs white-papers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
- Partner with SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the MENA/SA for Amazon SageMaker.
- Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of ML related subject matter experts in the MENA/SA.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were 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.
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons 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.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here which is why we arent focused on how many hours you spend at work or online. Instead were happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work
- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 3 years of design implementation or consulting in applications and infrastructures experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 5 years of infrastructure architecture database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite S/4HANA SAP Business Warehouse SAP HANA SAP Business Objects etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA SAP Cloud Platform SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts including design and build using non-SAP technologies in domains such as Generative / Agentic AI and data & analytics
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.
At Amazon weve been investing deeply in artificial intelligence for over 20 years and many of the capabilities customers experience in our products are driven by machine learning. recommendations engine is driven by machine learning (ML) as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain forecasting and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air and the computer vision technology in our new retail experience Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning and its a big part of our heritage.
Within AWS were focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet PyTorch and TensorFlow 2) Machine Learning Platforms such as Amazon SageMaker for data scientists and 3) API-driven Services like Amazon Lex Amazon Polly Amazon Transcribe Amazon Comprehend and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
AWS is looking for a self-driven Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping customers in the MENA/SA design solutions that leverage our ML services. As part of the team you will work closely with customers to enable large-scale use cases design ML pipelines and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers to fully leverage AI/ML on AWS. Additionally as the voice of the customer you will work closely with the service teams and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the AI/ML space and will leverage this knowledge to help AWS customers in their selection process.
Key job responsibilities
- Thought Leadership Evangelize AWS ML services and share best practices through forums such as AWS blogs white-papers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
- Partner with SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the MENA/SA for Amazon SageMaker.
- Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of ML related subject matter experts in the MENA/SA.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were 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.
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons 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.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here which is why we arent focused on how many hours you spend at work or online. Instead were happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work
- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 3 years of design implementation or consulting in applications and infrastructures experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 5 years of infrastructure architecture database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite S/4HANA SAP Business Warehouse SAP HANA SAP Business Objects etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA SAP Cloud Platform SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts including design and build using non-SAP technologies in domains such as Generative / Agentic AI and data & analytics
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
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
About Company
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