מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
As part of the Generative AI Worldwide Specialist organization, you will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. 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 will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review.Key job responsibilities- Assess model performance and latency for various industry-specific use cases and develop related technical assets.- Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.
- 5+ years of Data Scientist or Machine Learning Solutions Architect experience preferably with a focus on AI/ML model evaluations, benchmarking, and NLP
- 5+ years of experience with Python to analyze datasets, train , evaluate, deploy, fine-tune, and optimize models.
- Experience with open source frameworks for building applications powered by language models like LangChain, LlamaIndex, ragas.ai, and other model evaluations frameworks etc.- Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
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