Growth spawns additional hiring to help maintain company’s position as a leading provider of contextual categorization services
Greenwood Village, Colorado – June 25, 2014 – zvelo, Inc., a global provider of contextual categorization and malicious website detection services, has announced substantial growth and strong demand from the ad-tech, big data analytics, endpoint and network security and other high technology markets. As a result of the growth, the company is hiring additional senior-level talent in the areas of natural language processing, artificial intelligence, machine learning, data analysis, web threat detection and other support roles.
“The exceptional growth in the ad-tech and big data analytics markets for ever-more precise ad targeting, particularly at the intersection of mobile subscribers, social media and apps, is driving demand from our partners for zvelo to provide increasingly complex contextual categorization data sets,” stated Jeff Finn, CEO of zvelo. “We have earned a reputation for delivering highly accurate URL categorizations and we want to extend this reputation for quality to the other data sets we will be delivering for these new use cases. To support this growing demand, we are actively seeking senior-level talent in the specialized areas of NLP, AI-based categorization and Deep Web data analysis to help maintain the company’s leadership position.”
Experts being sought include data scientists, web threat detection specialists, project managers, software engineers and other technical and operational support personnel. Interested and qualified individuals are encouraged to apply on https://zvelo.com/about/careers.
About zvelo, Inc.
zvelo is a leading provider of contextual categorization and malicious website detection services, as well as blocklist security feeds strictly for the Original Equipment Manufacturer (OEM) market. zvelo licenses its zveloDB URL database, zveloCAT contextual categorization engine, and reputation blocklist solutions exclusively through technology partnerships with OEMs like online advertising technology providers, big data analytics firms, service providers, endpoint and network security vendors, web filtering and parental controls software makers, mobile app developers and other high growth market segments where contextual categorization accuracy, responsiveness, coverage, malicious website detection and fast URL query performance are required.