Machine Learning Engineer, AWS Generative AI Innovation Center
Machine Learning Engineer, AWS Generative AI Innovation Center
Posted on :
06-06-2025
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1 Vacancy
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Job Description
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists engineers architects and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As an ML Engineer youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with ML scientist and engineers to research design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
About the team
Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:
- Imagine new applications of generative AI to address your needs.
- Identify new use cases based on business value.
- Integrate Generative AI into your existing applications and workflows.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- Bachelors degree in computer science or equivalent
- Experience in professional non-internship software development
- Experience coding in Python R Matlab Java or other modern programming language
- Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing model containerization CI/CD pipelines API development model training and productionizing ML models
- Experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
- Masters or PhD degree in computer science or related technical math or scientific field
- Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch TensorFlow
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models Experiences related to AWS services such as SageMaker EMR S3 DynamoDB and EC2 hands-on experience of building ML solutions on AWS
- Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
As an ML Engineer youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with ML scientist and engineers to research design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
About the team
Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:
- Imagine new applications of generative AI to address your needs.
- Identify new use cases based on business value.
- Integrate Generative AI into your existing applications and workflows.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- Bachelors degree in computer science or equivalent
- Experience in professional non-internship software development
- Experience coding in Python R Matlab Java or other modern programming language
- Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing model containerization CI/CD pipelines API development model training and productionizing ML models
- Experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
- Masters or PhD degree in computer science or related technical math or scientific field
- Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch TensorFlow
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models Experiences related to AWS services such as SageMaker EMR S3 DynamoDB and EC2 hands-on experience of building ML solutions on AWS
- Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Employment Type
Full-Time
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