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Senior ML-Engineer, Finance

2 hours, 40 minutes ago
Serbia
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana Linux LLM MLflow MLOps MongoDB NLP Pandas Python 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 146

Description

  • Build a market intelligence database by collecting, enriching, and structuring web and third-party data.
  • Design and operate scrapers to extract signals from nonprofit websites, including products used, payment tools, and vertical indicators.
  • Develop classifiers and scoring features to identify fundraising websites and high-potential prospects.
  • Source and integrate financial and external signal data from nonprofit registries, SimilarWeb, and Facebook.
  • Store enriched datasets in internal systems and make them available for research and analysis across the team.
  • Work with the sales team to understand qualification criteria and refine scoring based on disqualified accounts in Salesforce.
  • Deploy the scoring model and integrate outputs into Salesforce in a clean, maintainable way.
  • Build a scraper to monitor existing clients’ websites and verify correct Fundraise Up implementation across properties.
  • Develop robust, cost-efficient filtering pipelines to handle noisy, duplicate-heavy data at large scale.
  • Create targeted sub-models for specific verticals and geographies as the project evolves.

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 such as conversion rate and LTV.
  • Strong Python skills with a product-oriented approach, clean code practices, design patterns, and solid engineering habits.
  • Advanced SQL and the ability to independently 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 solutions to production.
  • Strong English proficiency at C1 level.
  • Experience with CatBoost, uplift modeling, OpenAI RAG, or prompt engineering is a plus.
  • Experience with MLflow, Airflow, Redis, pandas, Polars, FastAPI, or Pydantic is a plus.
  • Comfort working in fast-paced, data-rich environments and communicating complex analytical concepts to non-technical audiences is a plus.

Benefits

  • Private medical insurance for the employee and their family.
  • 20 paid vacation days per year.
  • 15 paid public holidays per year.
  • 5 company-paid sick leave days.
  • English learning courses.
  • Relevant professional education support.
  • Gym or swimming pool access.
  • Home office setup assistance, including furniture and equipment purchases.
  • Co-working support.
  • Remote working in Serbia.

Interested in this position?

Apply directly on the company website

Apply Now

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