
Job Overview
Location
Armenia - 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. focused on building and deploying machine learning solutions that power donation optimization, smart assistants, and transaction classification for global nonprofit clients, directly impacting fundraising efficiency and donor experience.
- • Develop and deploy ML solutions across business areas using tabular data (uplift models, recommender systems); build end-to-end ML pipelines including data preparation, training, API development, and monitoring; design LLM-powered features such as classifiers, content generators, AI assistants, and chatbots; work across the full LLM lifecycle including golden datasets, prompt engineering, fine-tuning, and response evaluation; select optimal ML/LLM approaches or propose alternative solutions; collaborate with 10+ product teams as an internal ML center of excellence.
- • Join a tight-knit, high-impact product development team of 150+ engineers across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia; primarily Russian-speaking with strong English (B2) required; collaborative culture with bi-weekly engineering meetups, open dialogue, and knowledge sharing; flat structure with no politics, focused on excellence and innovation.
- • Gain deep expertise in production ML systems, LLMs, and MLOps while working on real-world problems affecting millions of dollars in monthly donations; advance skills in Python, FastAPI, ClickHouse, MongoDB, MLflow, Airflow, and LLM technologies; grow into a technical leader shaping ML strategy across product teams; contribute to meaningful social impact through technology that empowers nonprofits globally.
🎯 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: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- • English learning courses
- • Relevant professional education
- • Gym or swimming pool access
- • Co-working space support
- • 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.
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