Capital One is on a hiring spree for experts in this hot tech specialty
Article written by Fortune
This article features UVA School of Data Science Board Member and Capital One Chief Information Officer Rob Alexander.
A few years ago, Abhijit Bose was leading Facebook’s East Coast artificial intelligence research team, helping to teach computers to spot sunglasses on people’s faces.
Now, he’s helping Capital One create A.I. systems that can more quickly spot ATM scams and recommend credit card rewards programs to customers.
Bose leads the company’s machine learning center, which develops A.I. tools for other data scientists at the bank. With these tools, Capital One can better understand which rewards programs would be more appealing to certain customers, for instance.
In an effort to improve its machine learning acumen, Capital One is on a hiring spree. The bank plans to add 3,000 additional technologists by the end of the year, with a focus on machine learning specialists and software engineers who can build and maintain the complex infrastructure for powering A.I. software.
Hiring that many techies will be a challenge, particularly machine learning experts, who are in demand all across the corporate world. If the company fails in its hiring goal, it may have to turn to contractors or delay some of its tech projects, Capital One chief information officer Rob Alexander said.