Senior Data Scientist, AI Foundations

Capital One Capital One · Banking · New York, NY +1

Senior Data Scientist focused on building and shipping AI/ML solutions for a mobile app, including adapting and fine-tuning LLMs for customer-facing applications. The role involves building ML and NLP models through all development phases, from design to training, evaluation, and validation, and operationalizing them in production systems serving millions of customers. Experience with LLMs, NLP, training language models, and delivering models at scale is required.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Skills

Required

  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • training language models
  • delivering models at scale
  • Python
  • SQL

Nice to have

  • Pytorch
  • AWS
  • Hugging Face
  • LangChain
  • Lightning
  • VectorDBs
  • computer vision models
  • explainability
  • RLHF
  • Scala
  • R

What the JD emphasized

  • adapt and finetune them for customer facing applications and features
  • training language models
  • delivering models at scale both in training data and inference volumes
  • experience in delivering libraries, platforms, or solution level code to existing products

Other signals

  • building and shipping state of the art scalable architecture, AI/ML solutions
  • deliver AI powered products
  • operationalize them in scalable and resilient production systems
  • delivering models at scale both in training data and inference volumes
  • experience in delivering libraries, platforms, or solution level code to existing products