✦ Luna Orbit — Data & Analytics

Senior Manager, Data Science - LLM Customization Team

at Capital One Financial

📍 3 Locations Unknown 💰 $229K – $262K USD / year Posted April 15, 2026
Salary $229K – $262K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role leads data science work to customize and deploy Large Language Models (LLMs) for business applications. You will partner across research and engineering to build, evaluate, and validate NLP and GenAI solutions, then operationalize them into scalable production systems.

  • Partner cross-functionally to deliver AI-powered products
  • Leverage PyTorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs
  • Be an expert in Natural Language Processing (NLP) for Large Language Models (LLMs)
  • Build NLP models across design, training, evaluation, and validation
  • Operationalize models into scalable and resilient production systems

You will build NLP models spanning design, training, evaluation, and validation for Large Language Models (LLMs), with a focus on fine-tuning for business-specific features. The stack includes PyTorch, Hugging Face, AWS Ultraclusters, LangChain, and VectorDBs, with an emphasis on production-grade, scalable, and resilient systems.

The ideal candidate is a senior data science leader who is an expert in Natural Language Processing (NLP) and has hands-on experience with Large Language Models (LLMs) in production. They have fine-tuned LLMs for business-specific applications using open-source tooling and cloud platforms, and they can take models through design, training, evaluation, and validation while partnering with engineering to operationalize them. They also bring strong cross-functional influence and communication to align AI capabilities with business goals.

Hands-on experience working with LLMsExpert in Natural Language Processing (NLP)Experience adapting and fine-tuning Large Language Models (LLMs) for business specific applications and featuresHands-on experience with open-source tools and cloud computing platforms
Not specified in visible excerpt
PyTorchPytorchHugging FaceAWS UltraclustersLangChainVectorDBs
Natural Language Processing (NLP)Large Language Models (LLMs)fine-tuningevaluationvalidationproduction systemsoperationalizePyTorchHugging FaceAWS UltraclustersLangChainVectorDBsopen-source toolscloud computing platformsmachine learningdeep learning
Natural Language Processing (NLP)Large Language Models (LLMs)GenAI (GenAI)machine learningdeep learningfine-tuningevaluationvalidationproduction systemsoperationalizing machine learning modelsscalable and resilient production systemsPyTorchPytorchHugging FaceAWS UltraclustersLangChainVectorDBsVector databasesVectorDBsdata sciencestatistical modelingcross-functional collaborationbuilding production systems
innovativeresearch and evaluate emerging technologiescreative problem-solvingtranslating complexity into tangible business goalsinterpersonal skillsinfluential leadershipexperimenting and innovating
Industry Banking
Job Function Lead LLM customization and NLP model lifecycle for production GenAI experiences
Role Subtype Data Scientist
Tech Domains Python, Amazon Web Services, Kubernetes, Azure, Google Cloud Platform, SharePoint, React, Node.js
Senior ManagerData ScienceLLMLarge Language Models (LLMs)NLPNatural Language Processing (NLP)GenAImachine learningdeep learningfine-tunefine-tuningevaluationvalidationproduction systemsoperationalizescalable and resilientPyTorchHugging FaceAWS UltraclustersLangChainVectorDBsopen-source toolscloud computing platformsLLM customization

Hands-on experience working with LLMs, Expert in Natural Language Processing (NLP), Experience adapting and fine-tuning Large Language Models (LLMs) for business-specific applications, At least some experience with open-source tools and cloud computing platforms

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