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Senior ML-Engineer, Finance

1 month 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
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 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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