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Senior ML-Engineer

16 hours, 59 minutes ago
Georgia
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 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 104

Description

  • Develop and deploy ML solutions across different business areas using tabular data, including uplift models and recommender systems.
  • Select appropriate ML or LLM approaches and 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.
  • Optimize donation amounts, upsell offers, admin-panel assistants, and transaction classification workflows.
  • Collaborate with multiple product teams as an internal ML service and centre of excellence.

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.
  • Ability to connect ML metrics such as ROC-AUC, F1, and RMSE with business metrics such as CR and LTV.
  • Strong Python engineering skills with a product-oriented approach, clean code, design patterns, and solid engineering practices.
  • Advanced SQL skills and the ability to build complex datasets independently in ClickHouse.
  • Experience working with MongoDB.
  • Hands-on experience with experiment tracking tools and understanding of 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.
  • Experience with RL and LLM-based solutions is preferred.
  • Familiarity with the following stack is a plus: FastAPI, Pydantic, CatBoost, CausalML, OpenAI, MLflow, Airflow, Grafana, Sentry, pandas, Polars, and Redis.

Benefits

  • 31 days off.
  • 100% paid telemedicine plan.
  • Home office setup assistance, including help purchasing furniture and other workspace items.
  • English learning courses.
  • Relevant professional education.
  • Gym or swimming pool access.
  • Co-working support.
  • Remote working option.
  • Equity options.

Interested in this position?

Apply directly on the company website

Apply Now

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