ML Engineer

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. 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 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.

What You’ll Be Doing

• To develop and implement ML models and algorithms that improve the company's products and services.
• To Work with large datasets to analyse, 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.

What We’re Looking For

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.

Why Join Us?

• Impact-Driven Work: Build innovative solutions that redefine strategic response management.
• Collaborative Environment: Work with a passionate team of technologists, designers, and product leaders.
• Career Growth: Be part of a company that values learning and professional development.
• Competitive Benefits: We offer comprehensive compensation and benefits to support our employees.
• Trusted by Industry Leaders: Be part of a product that is trusted by world-leading organizations.
• Cutting-Edge Technology: Work on AI-driven solutions, cloud-native architectures, and large-scale data processing.
• Diverse and Inclusive Workplace: Collaborate with a global team that values different perspectives and ideas.