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Senior ML-Engineer, Finance

1 month ago
Turkey
Full-time
Senior
Machine Learning Engineer
Data Science and Analytics
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana Linux LLM MLflow 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 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 vertical indicators.
  • Develop filters and classifiers, such as a binary model to identify fundraising websites and other prospect-quality features.
  • Source and integrate financial and third-party data from nonprofit registries, SimilarWeb, and Facebook.
  • Store the enriched dataset in the internal database and make it accessible for team research and analysis.
  • Work with the sales team to understand qualification criteria and analyze disqualified accounts in Salesforce to refine scoring.
  • 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 tool implementation across their properties.
  • Develop cost-efficient, robust filtering pipelines that can handle noisy, duplicated 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.
  • Strong 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 habits, and knowledge of design patterns.
  • Advanced SQL skills, with the ability to 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 work autonomously, break down ambiguous problems, choose an appropriate tech stack, and deliver to production.
  • Experience with FastAPI, Pydantic, CatBoost, CausalML, OpenAI RAG/prompt engineering, MLflow, Airflow, Grafana, Sentry, pandas, Polars, Redis, or distributed computation is preferred.
  • Strong English proficiency at C1 level is required.
  • Ability to communicate in Russian is helpful, since the team primarily communicates in Russian.

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 work from Turkey.

Interested in this position?

Apply directly on the company website

Apply Now

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