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We are seeking a highly skilled Senior Generative AI Data Scientist to join our Amazon SageMaker team. As a key member of our team, you will play a critical role in helping our customers design and implement innovative solutions using Amazon SageMaker.
Key Responsibilities- Customer Advisor - Collaborate with customers to understand their business needs and provide expert guidance on implementing state-of-the-art machine learning algorithms under GenAI. Develop prototypes, proof-of-concepts, and explore new solutions to drive customer success.
- Thought Leadership - Share your expertise and knowledge of AWS GenAI services through various channels, including AWS blogs, whitepapers, reference architectures, and public speaking events such as AWS Summit and AWS re:Invent.
- Partner with Cross-Functional Teams - Work closely with Data Scientists, Solutions Architects, Sales, Business Development, and the Generative AI Service teams to accelerate customer adoption and provide guidance on customer engagements.
- Technical Liaison - Serve as a technical liaison between customers and the AWS Generative AI services teams to provide customer-driven product improvement feedback.
- Field Enablement - Develop and support an AWS internal community of ML-related subject matter experts worldwide. Create field enablement materials to help the broader technical population understand how to integrate AWS GenAI solutions into customer architectures.
We are looking for a highly experienced Data Scientist with a strong background in machine learning and data analysis. The ideal candidate will have:
- 10+ years of experience working as a Data Scientist or in a similar role involving data extraction, analysis, statistical modeling, and communication.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
