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Senior ML-Engineer, Finance

4 weeks ago
Armenia
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana Linux LLM Machine Learning MLflow MLOps MongoDB NLP Pandas Python Redis Salesforce SQL
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Fundraise Up

Fundraise Up

Fundraise Up specializes in enhancing online donation processes through AI-driven conversion optimization and integrated payment solutions, enabling organizations to maximize their fundraising potential and improve donor engagement.

Capital Markets
51-250
Founded 2017
View All Jobs 160

Description

  • Build a market intelligence database by collecting, enriching, and structuring data from multiple sources.
  • Design and operate web scrapers to extract signals from nonprofit websites, including products used, payment tools, and industry indicators.
  • Develop machine learning classifiers and scoring models to identify fundraising websites and high-potential prospects.
  • Source and integrate financial and third-party data from nonprofit registries, SimilarWeb, and Facebook.
  • Store enriched datasets in internal databases and make them available for research and analysis across the team.
  • Work with the sales team to understand qualification criteria and refine scoring using disqualified Salesforce accounts.
  • Deploy the scoring model and integrate its outputs into Salesforce in a maintainable way.
  • Build a scraper to monitor existing clients’ websites and verify correct implementation of Fundraise Up tools.

Requirements

  • 5+ years of ML/DS experience solving real product problems.
  • Strong expertise in machine learning and mathematical statistics, including classical algorithms such as gradient boosting and modern NLP/LLM approaches.
  • Proven experience with large-scale web scraping and data pipeline construction.
  • Metrics-driven mindset with the ability to connect ML metrics such as ROC-AUC, F1, and RMSE to business metrics like conversion rate and LTV.
  • Strong Python skills with a product-oriented approach, clean code practices, and knowledge of design patterns.
  • Advanced SQL skills, including the ability to build complex datasets in ClickHouse and work with MongoDB.
  • Hands-on MLOps experience with experiment tracking and production workflows such as Docker, Git, and CI/CD.
  • Ability to break down ambiguous problems, choose an appropriate tech stack, and deliver to production independently.
  • Strong English proficiency at C1 level.
  • Preferred qualities include curiosity, a hypothesis-driven mindset, strong communication with non-technical audiences, attention to detail, ownership, and comfort in fast-paced data-rich environments.

Benefits

  • 31 days off.
  • 100% paid telemedicine plan.
  • Home office setup assistance, including support for furniture and equipment purchases.
  • English learning courses.
  • Relevant professional education support.
  • Gym or swimming pool access.
  • Co-working support.
  • Remote working.

Interested in this position?

Apply directly on the company website

Apply Now

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