05 Aug
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inContact
|
India
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 current 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 recent 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 valuable 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.
📌 Senior Data Scientist Engineer Pune (India)
🏢 inContact
📍 India