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Senior Machine Learning Engineer - Finance

Fundraise UpArmenia - Remote
Remote Full-time

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Experience Level

Senior

Qualifications

Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. 5+ years of experience in machine learning or data engineering roles. Proficiency in programming languages such as Python, with experience in ML frameworks like TensorFlow or PyTorch. Strong understanding of data collection techniques, data enrichment, and modeling methodologies. Excellent problem-solving skills and ability to work collaboratively within a team. Strong written and verbal communication skills in English (C1 level required).

About the job

About Fundraise Up

Fundraise Up builds a fundraising platform that helps nonprofits collect donations quickly and easily. The team focuses on reducing page load times, improving conversion rates, and supporting a wide range of payment options. Each month, the platform processes tens of millions of dollars in donations worldwide.

Organizations like UNICEF, the American Heart Association, and the Alzheimer’s Association rely on Fundraise Up for their online fundraising. The company has earned a 4.9 out of 5 rating on major review sites. Most clients are based in the US, Canada, the UK, and Australia.

Our Team and Culture

The product development group includes over 150 team members working from countries such as Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Most collaboration happens in Russian, with a strong emphasis on open communication and knowledge sharing. Bi-weekly engineering meetups give everyone a chance to discuss technical challenges and share ideas.

Role Overview: Senior Machine Learning Engineer - Finance

This is a remote position based in Armenia. Proficiency in English at C1 level or above is required.

The Senior Machine Learning Engineer will take full ownership of a client intelligence project, moving it from a successful proof-of-concept (originally built with an external consultant) to an in-house solution. The project aims to build a detailed, enriched database of potential global clients, identifying their product needs, industry segments, and revenue potential. A scoring model will be developed and integrated directly with the sales pipeline. Company executives are closely involved in managing this project, reflecting its strategic value.

The role covers the entire workflow: data collection, enrichment, modeling, and production deployment.

Key Responsibilities

  • Build and maintain a market intelligence database by collecting and enriching data, optimizing data pipelines, and developing machine learning models for scoring and analysis.
  • Design and manage scrapers to extract key signals from nonprofit websites and other relevant sources.

About Fundraise Up

Fundraise Up is a cutting-edge fundraising platform revolutionizing how nonprofits receive donations. Our commitment to innovation and user experience has positioned us as a leader in the sector, with millions raised through our platform monthly.

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