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The Sr. Data Scientist – Gen AI Engineer will lead the design, development, and deployment of complex GenAI projects. The role involves working with financial data, refining prompt engineering strategies for LLMs, and staying updated with the rapidly evolving GenAI landscape.
Job Responsibility:
Collaborating with stakeholders to understand their needs
developing and testing Python code for GenAI solutions
integrating with vector databases
monitoring MLOps pipelines
researching emerging GenAI technologies
participating in team meetings
troubleshooting and debugging GenAI models in production
communicating technical concepts clearly to non-technical stakeholders
Requirements:
Master's degree in Computer Science, Data Science, or a related field. Ph.D. preferred
8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI
working with financial data and applying NLP techniques, refining prompt engineering strategies for LLMs
collaborating with stakeholders to understand their needs, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and participating in team meetings
troubleshooting and debugging GenAI models in production
staying up-to-date with the rapidly evolving GenAI landscape
communicating technical concepts clearly to non-technical stakeholders
demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation
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