Position Details
About this role
This role involves developing and optimizing large language models and AI systems to enhance real-time customer experiences and AI infrastructure at Capital One.
Key Responsibilities
- Develop and optimize LLMs
- Deploy AI models
- Collaborate on AI infrastructure
- Advance NLP capabilities
- Support AI research initiatives
Technical Overview
Stack includes PyTorch, Huggingface, AWS Ultraclusters, and proprietary AI infrastructure, focusing on NLP, model training, inference, and deployment.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with experience in large language models, NLP, and AI frameworks like PyTorch. They are innovative, research-aware, and capable of deploying scalable AI solutions in a collaborative environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large language models, No experience with PyTorch or Huggingface, No experience with AI deployment or optimization, No relevant AI/ML experience
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