Capital One
Financial Services
PrincipalAssociate,DataScientist-LLMCustomizationTeam
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optimal for Principal candidates.
“Principal Associate, Data Scientist - LLM Customization Team at Capital One. Skills: LLM Customization, Generative AI, Natural Language Processing. Partner with cross-functional team. Deliver AI powered products”
What You'll Achieve.
Deliver AI powered products that change how customers interact with their money; Create next generation experiences powered by the latest emerging generative AI technologies
Industry & Context.
Creative. You thrive on bringing definition to big, undefined problems.
What They're Looking For.
Must Have
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics, Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 1 year of experience working with AWS, At least 3 years’ experience in Python, Scala, or R, At least 3 years’ experience with machine learning, Experience with Large Language Models (LLM), Finetuning, and Deep Learning
What You'll Do.
Partner with cross-functional team
Deliver AI powered products
Leverage stack of technologies
Reveal insights from data
Harness power of LLMs
Adapt and finetune LLMs
Operationalize models in production
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers; Partnering with engineering teams to operationalize models; Bring along a cross functional team in breakthrough innovations; Communicate clearly and effectively to share findings with non-technical audiences
Communication Scope
Translate complexity of work into tangible business goals; Communicate clearly and effectively to share findings with non-technical audiences
Full Job Description
Principal Associate, Data Scientist - LLM Customization Team At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services. **Team Description** AI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Our work touches every aspect of the research life cycle, from research to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. **In this role, you will:** * Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. * Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems. * Flex your interpersonal skills to translate the complexi
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