
Job Overview
Location
Cyprus - Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
March 24, 2026
Full Job Description
📋 Description
- • Senior ML-Engineer role at FundraiseUp Inc., a leading fundraising platform trusted by global nonprofits like UNICEF and the American Heart Association, where you will drive impact by building and deploying machine learning solutions that directly influence donation conversion, user experience, and revenue growth across enterprise clients in the US, Canada, UK, and Australia.
- • Develop and deploy ML solutions across diverse business areas including uplift models, recommender systems, and e-commerce mechanics using tabular data; design and implement LLM-powered features such as AI assistants, chatbots, content generators, and classifiers; build end-to-end ML pipelines from data preparation and training to API development and monitoring; work across the full LLM lifecycle including golden dataset creation, prompt engineering, fine-tuning, and response evaluation; collaborate with 10+ product teams as part of an internal ML center of excellence, rotating between high-impact projects like optimizing donation amounts, upsell offers, and transaction classification.
- • Join a tight-knit, high-impact product development team of 150+ engineers spanning Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia, where Russian is the primary internal language but strong English (B2) is required for occasional cross-functional communication; the team fosters a collaborative, knowledge-sharing culture with bi-weekly engineering meetups, open dialogue, and a shared commitment to technical excellence and innovation.
- • Gain deep expertise in production ML systems at scale, including classical algorithms (gradient boosting, CatBoost), modern NLP/LLM approaches, and MLOps practices; strengthen your ability to connect ML metrics (ROC-AUC, F1, RMSE) to business outcomes (conversion rate, LTV); advance your engineering skills in Python, FastAPI, Docker, CI/CD, and data engineering with ClickHouse and MongoDB; grow into a trusted ML advisor who can autonomously break down ambiguous problems, justify technical choices, and deliver production-ready solutions that create measurable impact.
🎯 Requirements
- • 5+ years of hands-on ML/DS experience solving real-world product problems in production environments
- • Strong expertise in classical machine learning (especially gradient boosting algorithms like CatBoost) and modern NLP/LLM techniques, with solid grounding in mathematical statistics
- • Proven ability to connect ML evaluation metrics (ROC-AUC, F1, RMSE) to key business metrics such as conversion rate (CR) and lifetime value (LTV)
- • Advanced proficiency in Python for product-oriented development, including clean code practices, design patterns, and solid engineering culture
- • Advanced SQL skills with experience building complex datasets in ClickHouse and working with MongoDB; hands-on experience with MLOps tools (MLflow, Airflow, Docker, Git, CI/CD)
- • Demonstrated autonomy in breaking down open-ended problems, selecting appropriate ML or non-ML approaches, and delivering solutions to production
🏖️ Benefits
- • 31 days of paid time off per year to support work-life balance and personal well-being
- • 100% paid telemedicine plan ensuring accessible healthcare for you and your dependents
- • Home Office Setup Assistance including financial support for ergonomic furniture (chair, desk, monitor) and equipment to create a productive remote workspace
- • Access to English language learning courses to support professional communication in a global environment
- • Reimbursement for relevant professional education and certifications to encourage continuous skill development
- • Subsidies for gym memberships, swimming pool access, or co-working space usage to promote health and flexibility
- • Fully remote working arrangement with no relocation required, enabling you to work from anywhere in Cyprus or globally while collaborating with a distributed international team
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.
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