Senior Data Scientist Engineer

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.

Skills Required
cross functional team , Computer Science, Llm, Python