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Senior ML-Engineer, Finance

1 month ago
Poland
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana Linux LLM MLflow MongoDB NLP Pandas Python Redis Salesforce SQL Statistics
Apply Now
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 for ML scoring and analysis.
  • Design and operate web scrapers to extract signals from nonprofit websites, including products used, payment tools, and industry indicators.
  • Develop filters and classifiers such as a binary model to identify fundraising websites and other prospect-quality signals.
  • Source and integrate financial and third-party data from nonprofit registries, SimilarWeb, and Facebook.
  • Store enriched datasets in the internal database and make them usable for research and analysis across the team.
  • Work with the sales team to understand qualification criteria and analyze disqualified accounts in Salesforce to improve scoring.
  • Deploy the scoring model and integrate its outputs into Salesforce in a clean, maintainable way.
  • Build a scraper to monitor existing client websites and verify correct Fundraise Up implementation across properties.
  • Create robust, cost-efficient pipelines that handle noisy, duplicate, large-scale domain data.

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 engineering skills with a product-oriented approach, clean code practices, and knowledge of design patterns.
  • Advanced SQL, with the ability to build complex datasets in ClickHouse and work with MongoDB.
  • Hands-on MLOps experience with experiment tracking and production workflows, including Docker, Git, and CI/CD.
  • Ability to break down ambiguous problems, choose the right tech stack, and deliver to production independently.
  • Strong English required at C1 level.
  • Experience with OpenAI, RAG, Prompt Engineering, CatBoost, Uplift Modeling, MLflow, Airflow, Grafana, Sentry, pandas, Polars, Redis, FastAPI, or Pydantic is relevant to the role.
  • Curiosity, hypothesis-driven thinking, strong ownership, and comfort working in fast-paced, data-rich environments are bonus points.

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.
  • Equity options and a long-term focus on sustained contribution.

Interested in this position?

Apply directly on the company website

Apply Now

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