Applied Scientist, AWS Professional Services

Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI) Would you be excited to apply AI algorithms to solve real world problems with significant impact The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Applied Scientist to help customers implement AI/ML solutions and realize transformational business opportunities.

This is a team of scientists engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine-tune the right models define paths to navigate technical or business challenges develop scalable solutions and applications and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Were looking for Applied Scientists capable of using AI/ML and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.


Key job responsibilities
As an experienced Applied Scientist you will be responsible for:

1. Implement end-to-end AI/ML and GenAI projects from understanding business needs to data preparation model development solution deployment and post-production monitoring
2. Collaborate with AI/ML scientists engineers and architects to research design develop and evaluate generative AI algorithms and build ML systems to address real-world challenges
3. Interact with customers directly to understand the business problem help and aid them in implementation of AI/ML solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
4. Create and deliver best practice recommendations tutorials blog posts publications sample code and presentations adapted to technical business and executive stakeholder.
5. Provide customer and market feedback to product and engineering teams to help define product direction
This is a customer-facing role with potential travel to customer sites as needed.


About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below 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.

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- Experience with building machine learning models for business application experience
- Experience in any of the following areas: algorithms and data structures optimization parallel and distributed computing deep learning architecture high-performance computing
- Experience with hands-on experience with training fine-tuning devaluating and deploying transformer models in production
- PhD degree in computer science engineering mathematics operations research or in a highly quantitative field or Masters degree plus 5 years of relevant work experience
- Experience with design development and optimization of generative AI solutions algorithms or technologies

- Experience with deep learning computer vision human robotic interaction algorithms implementation experience using PyTorch and TensorFlow
- Experience with design deployment and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain LlamaIndex and/ or similar tools
- Experience building AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Strong communication skills with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.