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Principal Data Scientist - NLP

Capital One
Boston, MA
Full-time

Description

AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI / ML solutions for Capital One’s award-winning mobile app.

We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents.

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, 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, AWS Ultraclusters, Hugging Face, LangChain, Lightning, 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 customer facing applications and features.

Build machine learning and 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 that serve 80+ million customers.

Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is :

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities

30+ days ago
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