DescriptionAre you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems
As a Data Scientist on the AI/ML for Ops Data Team youll leverage AI and ML to make data AI-ready. Youll use your expertise with Large Language Models predictive models and generative AI solutions with the Consumer and Community Bank Operations Data Owner team.
Job Responsibilities:
- Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries LLMs and vendor solutions to enable seamless integration of AIML models with business data needs.
- Design and demonstrate POCs for making structured and unstructured data and iterate on prototype solutions.
- Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
- Closely collaborate with Engineering and Data Science to productionalize your POCs.
- Analyze diverse data assets and sources to prioritize developing insights that lead to actionable recommendations for sequencing.
Required qualifications capabilities and skills:
- Degree in quantitative discipline (e.g. Computer Science Mathematics Operations Research Data Science).
- 3 years experience in creating predictive models and generative AI solutions using LLM prompt engineering Retrieval Augmented Generation (RAG).
- Strong Proficiency in Python.
- Hands-on experience with LLM APIs Python libraries like Pandas NumPy scikit-learn and others for data manipulation modeling and analysis.
- Proficiency with data table operations (SQL etc.).
- Experience designing building and maintaining ETL data pipelines using tools such as SQL Python and Alteryx.
- Experience with evaluation metrics for ML and generative AI and with building monitoring dashboards.
Required Experience:
Senior IC
DescriptionAre you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problemsAs a Data Scientist on the AI/ML for Ops Data Team youll leverage AI and ML to make data AI-ready. Youll use your expertise with Large Language Models predictive models ...
DescriptionAre you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems
As a Data Scientist on the AI/ML for Ops Data Team youll leverage AI and ML to make data AI-ready. Youll use your expertise with Large Language Models predictive models and generative AI solutions with the Consumer and Community Bank Operations Data Owner team.
Job Responsibilities:
- Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries LLMs and vendor solutions to enable seamless integration of AIML models with business data needs.
- Design and demonstrate POCs for making structured and unstructured data and iterate on prototype solutions.
- Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
- Closely collaborate with Engineering and Data Science to productionalize your POCs.
- Analyze diverse data assets and sources to prioritize developing insights that lead to actionable recommendations for sequencing.
Required qualifications capabilities and skills:
- Degree in quantitative discipline (e.g. Computer Science Mathematics Operations Research Data Science).
- 3 years experience in creating predictive models and generative AI solutions using LLM prompt engineering Retrieval Augmented Generation (RAG).
- Strong Proficiency in Python.
- Hands-on experience with LLM APIs Python libraries like Pandas NumPy scikit-learn and others for data manipulation modeling and analysis.
- Proficiency with data table operations (SQL etc.).
- Experience designing building and maintaining ETL data pipelines using tools such as SQL Python and Alteryx.
- Experience with evaluation metrics for ML and generative AI and with building monitoring dashboards.
Required Experience:
Senior IC
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