Position Details
About this role
This role involves developing and optimizing large language models and AI systems at Capital One, leveraging open source tools and responsible AI practices.
Key Responsibilities
- Design and train large language models
- Optimize AI model performance
- Deploy AI systems at scale
- Collaborate with research teams
- Implement responsible AI practices
Technical Overview
The environment includes PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters, focusing on AI model training, inference, evaluation, and infrastructure.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with experience in large language models, AI training, and inference, proficient in tools like PyTorch and Huggingface. They are innovative, research-oriented, and capable of developing scalable AI systems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
No experience with AI or ML, Lack of knowledge of LLMs, No experience with AI infrastructure
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