
Senior Data Scientist Engineer
2 weeks ago
How will you make an impact
- Regularly review production metrics and specific problem cases to find opportunities for improvement.
- Help diagnose and resolve issues with production prompts in English.
- Refine prompts to generative AI systems to achieve customer goals.
- Collect and present quantitative analysis on solution success.
- Work with application developers to implement new production monitoring tools and metrics.
- Work with architects and Product Managers to implement prompts to support new features.
- Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00).
- Review new prompts and prompt changes with Machine Learning Engineers.
- Consult with Machine Learning Engineers for more challenging problems.
- Stay informed about new advances in prompt engineering.
Have you got what it takes
- Fluent in written and spoken English.
- BS in technology-related field such as computer science, business intelligence/analytics, or finance.
- 4- 7 years work experience in a technology-related industry or position.
- Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors.
- Ability to develop and maintain good working relationships with cross-functional teams.
- Ability to clearly communicate and present to internal and external stakeholders.
- Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.
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