Capital One is looking to solve the problem of enhancing customer digital experience and providing superior protection in their financial lives by leveraging AI-driven disruption and cutting-edge technologies.
Requirements
- At least 6 years of experience leveraging open source programming languages for large scale data analysis
- At least 6 years of experience working with machine learning
- At least 6 years of experience utilizing relational databases
- At least 5 years of specialized experience in GenAI application development.
- At least 5 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster
- At least 6 years of experience working with AWS or equivalent GPU Clusters
- At least 6 years of experience in PyTorch/Tensorflow
Responsibilities
- Lead cutting-edge research and development in Generative AI (GenAI) to enhance our fraud detection, device trust and customer data models, including model architecture design, hyperparameter optimization, and evaluation metrics.
- Fine-tune advanced Large Language Models (LLMs) for domain-specific applications, inference optimization, and multi-agentic workflows, leveraging techniques like transfer learning, prompt engineering, curriculum learning, and reinforcement learning with human feedback (RLHF).
- Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more, for model development, deployment, and monitoring.
- Be the expert in Graph ML, and Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features, including entity recognition, sentiment analysis, and summarization.
- Drive innovation by designing, training, evaluating, and deploying state-of-the-art AI models, partnering with engineering teams to integrate them into scalable and resilient production systems with robust MLOps practices.
- Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance, by identifying key performance indicators (KPIs) and designing A/B tests to measure impact.
- Lead a cross-functional team of data scientists, software engineers, machine learning engineers and work with product managers and Engineers to deliver AI powered products.
Other
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
- A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation.
