Capital One is looking to leverage cutting-edge technology, machine learning, and AI to empower operations teams, streamline processes in fraud detection, claims processing, and quality control, and unlock opportunities to help everyday people save money, time, and agony in their financial lives.
Requirements
- At least 1 year of experience working with AWS
- At least 1 year of experience in GenAI application development.
- At least 1 year of experience with multi-agentic workflows.
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with SQL
- At least 3 years’ experience with Machine Learning
- Proficient in NLP and LLM tuning.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI powered solutions to increase operational efficiency.
- Leverage a broad stack of technologies — Python, AWS, Spark, Kubernetes and more — to reveal the insights hidden within huge volumes of numeric and textual data using deep learning techniques such as transformers, LSTMs, and embeddings
- Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications and multi-agentic workflows.
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Other
- Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
- 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 5 years of experience performing data analytics
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
