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Senior ML-Engineer

12 hours, 46 minutes ago
Serbia
Full-time
Senior
Machine Learning Engineer
Data Science and Analytics
Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Git Grafana LLM MLflow MongoDB NLP Pandas Python Redis Reinforcement Learning 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 104

Description

  • Develop and deploy ML solutions for different business areas using tabular data, uplift models, and recommender systems.
  • Select the most appropriate ML or LLM approach for each problem and propose alternative solutions when needed.
  • Build end-to-end ML systems, 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 product teams on use cases that span donation optimization, upsell offers, admin tools, and transaction classification.
  • Operate as an internal ML service and center of excellence supporting 10+ product teams.
  • Contribute to production-ready solutions with attention to deployment and ongoing model performance.

Requirements

  • 5+ years of ML/DS experience solving real product problems.
  • Strong expertise in machine learning and mathematical statistics, including classical algorithms, especially gradient boosting, and modern NLP/LLM approaches.
  • Metrics-driven mindset with 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 development approach, clean code practices, design patterns, and solid engineering discipline.
  • Advanced SQL skills and ability to build complex datasets independently in ClickHouse; experience with MongoDB.
  • Hands-on experience with experiment tracking tools and understanding of production workflows including Docker, Git, and CI/CD.
  • Ability to work autonomously, break down problems, choose the right tech stack, or justify a non-ML solution.
  • Strong English required at B2 level; team communication is primarily in Russian.
  • Experience with classical ML, RL, or LLM-based solutions is preferred.
  • Familiarity with the listed stack is a plus, including FastAPI, Pydantic, MLflow, Airflow, Grafana, Sentry, pandas, Polars, Redis, and OpenAI RAG/prompt engineering.

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 support.
  • Gym or swimming pool benefit.
  • Home office setup assistance, including furniture and equipment contributions.
  • Co-working support.
  • Remote working arrangement.
  • Equity options.

Interested in this position?

Apply directly on the company website

Apply Now

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