ML Engineer

About Responsive. 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

About The Role. 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

Essential Functions. To develop and implement ML models and algorithms that improve the company's products and services

To Work with large datasets to analyze, model, and interpret data

To create and optimize NLP models to extract meaningful insights from unstructured text data

To collaborate with cross-functional teams to identify and solve complex business problems

To continuously monitor and improve the performance of ML models

To develop and maintain ML codebase, including version control using Git

Education. Bachelor's degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics

Experience. 3-5 years of experience in Machine Learning. Proficiency in Python is a must. Knowledge, Ability &

Skills. Comfortable with NLP techniques

Basic understanding of ML and DL algorithms/frameworks

Familiarity with Linux and Git

Good problem-solving and analytical

Skills

Good understanding of mathematics