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Senior ML-Engineer, Finance

1 hour, 33 minutes ago
Portugal
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Google Analytics Grafana Linux LLM Machine Learning MLflow MongoDB NLP Pandas Python React Redis Salesforce SQL
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 148

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 filtering models such as a binary classifier to determine whether a website is for fundraising.
  • Source and integrate financial and third-party data from nonprofit registries, SimilarWeb, and Facebook.
  • Store and maintain the enriched dataset in the internal database for research and analysis across teams.
  • Work with the sales team to understand qualification criteria and analyze disqualified Salesforce accounts to improve scoring rules.
  • Deploy the scoring model and integrate its outputs into Salesforce in a clean and 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 habits, knowledge of design patterns, and solid engineering practices.
  • Advanced SQL skills, with the ability to independently build complex datasets in ClickHouse and work with MongoDB.
  • Hands-on MLOps experience with experiment tracking and production workflows using 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.
  • Experience with CatBoost, CausalML, OpenAI RAG, FastAPI, Pydantic, MLflow, Airflow, Grafana, or Sentry is a plus.

Benefits

  • Private medical insurance for the employee and their family.
  • 22 paid vacation days per year.
  • Up to 14 paid public holidays per year.
  • 5 company-paid sick leave days.
  • English learning courses and relevant professional education.
  • Gym or swimming pool benefit.
  • Home office setup assistance for furniture and equipment.
  • Remote working with co-working support.
  • €50 monthly allowance for internet and mobile phone expenses.
  • Equity options with a long-term focus.

Interested in this position?

Apply directly on the company website

Apply Now

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