Senior ML Engineer

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Date: Nov 9, 2024

Location: India, IN

Company: Responsive

About Responsive

Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Responsive is headquartered in Portland, OR, with additional offices in Kansas City, MO and Coimbatore, India. Learn more at responsive.io.

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 Responsibilities

  • 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

  • 4-6 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.