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Senior ML-Engineer, Finance

1 hour, 33 minutes ago
Georgia
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 REST API 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 150

Description

  • Build a market intelligence database through data collection, enrichment, pipeline fixing, and ML-based scoring.
  • 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 identify fundraising websites and other high-potential prospect features.
  • Source and integrate financial and third-party data from nonprofit registries, SimilarWeb, and Facebook.
  • Store and structure enriched data in the internal database for use across research and analysis.
  • 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 implementation of Fundraise Up tools.
  • Develop cost-efficient filtering pipelines that can handle noisy, duplicated data at large scale.

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 outcomes such as conversion rate and LTV.
  • Strong Python engineering skills with a product-oriented approach, clean code practices, and knowledge of design patterns.
  • Advanced SQL experience, including building complex datasets in ClickHouse and working with MongoDB.
  • Hands-on MLOps experience with experiment tracking and production workflows, including Docker, Git, and CI/CD.
  • Ability to work autonomously, break down ambiguous problems, choose the right tech stack, and deliver to production.
  • Strong English proficiency at C1 level.
  • Experience with CatBoost, Airflow, MLflow, FastAPI, Redis, pandas, Polars, or similar tools is a plus.
  • Experience with uplift modeling, CausalML, or OpenAI-based RAG and prompt engineering is a plus.

Benefits

  • 31 days off.
  • 100% paid telemedicine plan.
  • Home office setup assistance for furniture and other workspace items.
  • English learning courses.
  • Relevant professional education support.
  • Gym or swimming pool access.
  • Co-working support.
  • Remote working.
  • Equity options and a long-term incentive focus.

Interested in this position?

Apply directly on the company website

Apply Now

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