Responsive, formerly RFPIO, is the market leader in an emerging new category of SaaS solutions called Strategic Response Management. Responsive customers including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom are using Responsive to manage business critical responses to RFPs, RFIs, RFQs, security questionnaires, due diligence questionnaires and other requests for information. Responsive has nearly 2,000 customers of all sizes and has been voted “best in class” by G2 for 13 quarters straight. It also has more than 35% of the cloud SaaS leaders as customers, as well as more than 15 of the Fortune 100. Customers have used Responsive to close more than $300B in transactions to-date.
Responsive is looking for an ML Engineer with a strong background in Python, NLP, structured and unstructured data, and basic understanding of ML and DL algorithms/frameworks. The ideal candidate will have a Bachelor's degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics. The ML Engineer should be familiar with Linux and Git and have strong problem-solving and analytical skills. Additionally, the candidate should have a good understanding of mathematics.