Amazon
Senior Generative AI Data Scientist, Amazon SageMaker
Amazon, San Francisco, California, United States, 94199
Senior Generative AI Data Scientist, Amazon SageMaker
Job ID: 2722950 | Amazon Web Services, Inc.Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.AWS is looking for a Generative AI Data Scientist, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers on adoption patterns for generative AI. You will work closely with other Data Scientists and Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services.You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, pre-training and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches.Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners, and Amazon Web Services service teams, influencing their roadmaps and driving innovation.Key job responsibilities
Customer Advisor - Implement and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions.Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events.Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and provide guidance on their customer engagements.Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer-driven product improvement feedback.Develop and support an AWS internal community of ML related subject matter experts worldwide.BASIC QUALIFICATIONS
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience5+ years of data scientist experienceExperience with statistical models e.g. multinomial logistic regression5+ years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models.PREFERRED QUALIFICATIONS
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience managing data pipelinesExperience as a leader and mentor on a data science teamExperience with open source frameworks for building applications powered by language models like LangChain, LlamaIndex.Design, develop, and optimize high-quality prompts and templates that guide the behavior and responses of LLM.Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, and risk mitigation.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2722950 | Amazon Web Services, Inc.Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.AWS is looking for a Generative AI Data Scientist, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers on adoption patterns for generative AI. You will work closely with other Data Scientists and Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services.You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, pre-training and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches.Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners, and Amazon Web Services service teams, influencing their roadmaps and driving innovation.Key job responsibilities
Customer Advisor - Implement and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions.Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events.Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and provide guidance on their customer engagements.Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer-driven product improvement feedback.Develop and support an AWS internal community of ML related subject matter experts worldwide.BASIC QUALIFICATIONS
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience5+ years of data scientist experienceExperience with statistical models e.g. multinomial logistic regression5+ years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models.PREFERRED QUALIFICATIONS
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience managing data pipelinesExperience as a leader and mentor on a data science teamExperience with open source frameworks for building applications powered by language models like LangChain, LlamaIndex.Design, develop, and optimize high-quality prompts and templates that guide the behavior and responses of LLM.Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, and risk mitigation.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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