Capital One is looking to leverage Machine Learning and Generative AI capabilities within the Commercial Bank to enable cutting-edge AI techniques and technologies applied to Commercial Banking use cases, working end to end from concept to production heavily focused on experimentation, predictive modeling and generative AI.
Requirements
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
- At least 1 year of experience working with AWS
- At least 4 years’ experience in Python, Scala, or R for large scale data analysis
- At least 4 years’ experience with machine learning
- At least 4 years’ experience with SQL
Responsibilities
- Leverage a broad stack of technologies — Python, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning and generative AI solutions through all phases of development, from design through training, evaluation, validation, and implementation
- Mine for real time insights hidden in large internal and external datasets to help Capital One and our customers make crucial business decisions.
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver high impact AI infused transformations to the Commercial Bank
- Continually research and evaluate emerging technologies.
- Stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Develop data science solutions using open-source tools and cloud computing platforms.
Other
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Innovative. You continually research and evaluate emerging technologies.
- 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.