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Senior Machine Learning Engineer - Finance

Fundraise UpCyprus - Remote
Remote Full-time

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Experience Level

Senior

Qualifications

Qualifications:5+ years of hands-on experience in machine learning and data engineering. Proficiency in data collection, enrichment, and modeling techniques. Strong understanding of the finance sector and nonprofit organizations. Experience with data scraping tools and techniques. Exceptional problem-solving skills and a collaborative mindset. Fluent in English (C1 level) is mandatory.

About the job

Fundraise Up is looking for a Senior Machine Learning Engineer with a finance focus to lead a new client intelligence project. This role centers on building a global database of potential clients, analyzing their needs, industry sectors, and revenue opportunities. After a successful proof-of-concept with an external consultant, this project is moving fully in-house. The engineer will take ownership of the initiative and guide it through to production.

What You Will Do

  • Build a market intelligence database using a range of data collection techniques, such as web scraping, data enrichment, and machine learning models for analysis and scoring.
  • Develop and maintain scrapers to gather insights from nonprofit organization websites, deepening knowledge of potential clients.
  • Collaborate closely with company leadership to ensure the project supports Fundraise Up’s strategic goals.

Location

This is a remote position based in Cyprus.

About Fundraise Up

Fundraise Up is an innovative fundraising platform dedicated to making donations to nonprofits swift and seamless. Our commitment to enhancing user experience has led to significant improvements in page load times and conversion rates, allowing people worldwide to contribute tens of millions of dollars monthly. Trusted by leading organizations such as UNICEF and the American Heart Association, we are proud to maintain a 4.9 out of 5 rating on major review platforms. Our operations primarily target the enterprise segment, focusing on clients in the US, Canada, UK, and Australia.

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