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Senior ML-Engineer

1 month, 1 week ago
Serbia
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 SQL Statistics
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

  • Develop and deploy ML solutions across business areas using tabular data, uplift models, and recommender systems.
  • Select appropriate ML or LLM approaches, or propose alternative solutions when needed.
  • Build end-to-end ML solutions, including data preparation, model 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 multiple product teams as an internal ML service and center of excellence.
  • Optimize donation amounts, upsell offers, transaction classification, and related product experiences.
  • Operate in a production-focused environment and deliver solutions to deployment.

Requirements

  • 5+ years of ML/DS experience solving real product problems.
  • Strong expertise in ML and mathematical statistics, including classical algorithms such as gradient boosting and modern NLP/LLM approaches.
  • Metrics-driven mindset with the ability to connect ML metrics such as ROC-AUC, F1, and RMSE to business metrics such as CR and LTV.
  • Strong Python skills with a product-oriented approach, clean code, knowledge of design patterns, and solid engineering practices.
  • Advanced SQL skills and the ability to independently build complex datasets in ClickHouse and work with MongoDB.
  • Hands-on experience with experiment tracking tools and understanding of production workflows, including 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.
  • Experience with RL and LLM-based solutions, including generation, classification, and agents, is preferred.
  • Familiarity with the listed tech stack, including FastAPI, Pydantic, CatBoost, MLflow, Airflow, Grafana, Sentry, pandas, Polars, and Redis, is preferred.

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.
  • Gym or swimming pool access.
  • Home office setup assistance, including help purchasing furniture and equipment.
  • Co-working support.
  • Remote working arrangement.
  • Equity options and a long-term focus on sustained contribution.

Interested in this position?

Apply directly on the company website

Apply Now

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