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

Financials

51-250 (100)

Founded 2017

82 open positions

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Senior ML-Engineer

1 month, 3 weeks ago

Poland

Full-time

Senior

Machine Learning Engineer

Data Science and Analytics

Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana LLM Machine Learning MLflow MongoDB NLP Pandas Python Redis Reinforcement Learning SQL

Apply Now

Fundraise Up

Capital Markets

51-250

Founded 2017

View All Jobs 82

Description

Develop and deploy ML solutions across multiple business areas using tabular data, uplift models, and recommender systems.
Select appropriate ML or LLM approaches, or propose non-ML alternatives when they are more effective.
Build end-to-end ML solutions covering data preparation, training, API development, and monitoring.
Design LLM-powered features such as classifiers, content generation tools, AI assistants, and chatbots.
Work across the full LLM lifecycle, including golden datasets, prompt engineering, fine-tuning, and response evaluation.
Collaborate with internal product teams as an internal ML service and center of excellence.
Apply metrics-driven decision-making by connecting model metrics to business outcomes.
Deliver production-ready solutions with strong engineering and MLOps practices.

Requirements

5+ years of ML or data science experience solving real product problems.
Strong expertise in machine learning and mathematical statistics, including classical algorithms such as gradient boosting.
Understanding of modern NLP and LLM approaches.
Ability to connect ML metrics such as ROC-AUC, F1, and RMSE with business metrics such as CR and LTV.
Strong Python skills with a product-oriented approach, clean code habits, design patterns, and solid engineering practices.
Advanced SQL skills and experience building complex datasets in ClickHouse.
Experience working with MongoDB.
Hands-on experience with experiment tracking tools and production workflows such as Docker, Git, and CI/CD.
Ability to break down problems, choose the right tech stack, or justify a non-ML solution and deliver to production.
Strong English required at B2 level; the team primarily communicates in Russian.
Experience with e-commerce mechanics, RL, or broader LLM solutions is a plus.
Experience with MLflow and Airflow is a plus.

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 working from Poland.

Interested in this position?

Apply directly on the company website

Apply Now

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