We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
