Lead AI Engineer (Vision model customization, VML)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, and model evaluation for banking applications.
Role type
Lead AI Engineer (Vision model customization, VML)
Builds
Proprietary AI solutions and platforms that empower teams across Capital One to enhance products with transformative AI capabilities.
Domain
Banking / Applied AI & Machine Learning
Deliverable
production ML models
Required skills
Python, Go, Scala, Java, C++, C#, LLM Inference, Similarity Search, VectorDBs, Guardrails, Memory, Model Optimization, Hardware Utilization, Latency Optimization, Throughput Optimization, Cost Optimization, Cloud Platform Deployment, AI Research Application
Preferred skills
Scalable AI solutions deployment, AI services design, Training and Inference software optimization, State-of-the-art AI techniques application
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and deploy AI software components; Invent LLM optimization techniques; Contribute to technical vision and roadmap of foundational AI systems.
Seniority
Lead, hands-on IC with strategic contribution