Amazon Web Services (AWS)
Senior Data Scientist, Generative AI Innovation Center, Model Customization
Amazon Web Services (AWS), New York, New York, us, 10261
Overview
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Senior Data Scientist, Generative AI Innovation Center, Model Customization
role at
Amazon Web Services (AWS) .
The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems, aid in the implementation of generative AI solutions, brief customers, and guide adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
Provide customer and market feedback to product and engineering teams to help define product direction
Basic Qualifications
Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
2+ years of hands-on experience with generative AI technology
5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
5+ years of hands-on experience with Python to build, train, and evaluate models
4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools
Hands on experience building cloud applications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Senior Data Scientist, Generative AI Innovation Center, Model Customization
role at
Amazon Web Services (AWS) .
The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems, aid in the implementation of generative AI solutions, brief customers, and guide adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
Provide customer and market feedback to product and engineering teams to help define product direction
Basic Qualifications
Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
2+ years of hands-on experience with generative AI technology
5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
5+ years of hands-on experience with Python to build, train, and evaluate models
4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools
Hands on experience building cloud applications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr