
Job Overview
Location
Serbia - Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • Senior ML-Engineer role at FundraiseUp Inc. focused on building and deploying machine learning solutions that power donation optimization, smart assistants, and transaction classification for a global nonprofit fundraising platform serving enterprise clients in the US, Canada, UK, and Australia.
- • Develop and deploy ML solutions across business areas using tabular data (uplift models, recommender systems); select appropriate ML/LLM approaches; build end-to-end pipelines from data preparation to monitoring; design LLM-powered features including classifiers, content generators, AI assistants, and chatbots; work across the full LLM lifecycle including golden datasets, prompt engineering, fine-tuning, and response evaluation.
- • Join a tight-knit, high-impact product development team of 150+ engineers across Serbia, Spain, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia; collaborate in a Russian-speaking environment with strong English (B2) required for occasional cross-functional communication with US-based business teams.
- • Gain deep expertise in production ML systems, LLMs, and MLOps while contributing to a platform that processes tens of millions of dollars in monthly donations for trusted nonprofits like UNICEF, American Heart Association, and Alzheimer’s Association; grow through flat-structure collaboration, bi-weekly engineering meetups, and ownership of end-to-end ML initiatives.
🎯 Requirements
- • 5+ years of ML/DS experience solving real product problems with production deployment
- • Strong expertise in ML and mathematical statistics: classical algorithms (especially gradient boosting) and modern NLP/LLM approaches
- • Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- • Strong engineering culture: confident in Python with product-oriented development; clean code, design patterns, and solid engineering practices
- • Data skills: advanced SQL; ability to build complex datasets in ClickHouse and work with MongoDB
- • MLOps understanding: hands-on experience with experiment tracking tools and production workflows (Docker, Git, CI/CD)
- • Autonomy: ability to break down problems, choose the right tech stack (or justify non-ML solutions), and deliver to production
🏖️ Benefits
- • Private medical insurance for employee and 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 access
- • Home Office Setup Assistance: company assistance with purchasing furniture (chair, desk, monitor) and workspace items
- • Co-working space access
- • Remote working flexibility
Skills & Technologies
About FundraiseUp Inc.
FundraiseUp provides a SaaS donation platform for nonprofits, charities, and NGOs. Its technology uses AI and behavioral data to personalize giving experiences, increase donor conversion, and reduce abandonment. Features include one-click payments, recurring giving, multilingual donation forms, and analytics dashboards. The platform integrates with CRMs like Salesforce and Blackbaud, supports Apple Pay, Google Pay, PayPal, ACH, and credit cards, and offers A/B testing and fraud protection. It serves organizations worldwide, helping them raise funds online without dedicated technical staff.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

Heidi Health Pty Ltd
10 days ago

Heidi Health Pty Ltd
10 days ago

FundraiseUp Inc.
2 days ago