Senior ML-Engineer

<h3><strong>Highlights:</strong></h3> <p><strong>Location:&nbsp;</strong>Georgia</p> <p><strong>Stock options</strong></p> <p><strong>Language:</strong> Fluent in Russian and English</p> <h3>About Fundraise Up</h3> <p>We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.</p> <p>Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.</p> <h3>A Truly Global Product</h3> <p>We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.</p> <p>We’re building a <strong>large and complex product ecosystem</strong> that serves nonprofits, donors, and partners around the world. The platform includes a modern&nbsp;<strong>checkout experience and customizable widgets</strong>&nbsp;(each a standalone SPA), <strong>donor, organization, and partner portals</strong>,&nbsp;<strong>admin tools</strong>, and several internal apps.</p> <h3>The Team</h3> <p>We are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus.</p> <p>Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. &nbsp;You’ll be joining a team where quality, mentorship, and mutual respect come first.</p> <h3><strong>About the Role</strong></h3> <p>We're looking for a&nbsp;<strong>Senior</strong> <strong>ML Engineer</strong> 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. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.</p> <p>We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.</p> <p>The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.</p> <h3><strong>What You’ll Do</strong></h3> <ul> <li class="whitespace-normal break-words pl-2">Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.</li> <li class="whitespace-normal break-words pl-2">Select the most appropriate ML/LLM approaches or propose alternative solutions.</li> <li class="whitespace-normal break-words pl-2">Build end-to-end ML solutions: data preparation, training, API development, and monitoring.</li> <li class="whitespace-normal break-words pl-2">Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.</li> </ul> <h3><strong>Requirements</strong></h3> <ul> <li class="whitespace-normal break-words pl-2">5+ years of ML/DS experience solving real product problems</li> <li class="whitespace-normal break-words pl-2">Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus</li> <li class="whitespace-normal break-words pl-2">Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)</li> <li class="whitespace-normal break-words pl-2">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</li> <li class="whitespace-normal break-words pl-2">Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB</li> <li class="whitespace-normal break-words pl-2">MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)</li> <li class="whitespace-normal break-words pl-2">Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production</li> <li class="whitespace-normal break-words pl-2">At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate</li> </ul> <h3><strong>Our Tech Stack</strong></h3> <p>Core: Python (uv, ruff), FastAPI, Pydantic, Docker</p> <p>Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)</p> <p>Data: ClickHouse, MongoDB, pandas, Polars, Redis</p> <p>MLOps: MLflow, Airflow</p> <p>Monitoring: Grafana, Sentry</p> <h3><strong>Why work with us</strong></h3> <ul> <li>A strong, collaborative product team that owns what it builds</li> <li>Clear product vision and access to real customer feedback from global nonprofit leaders</li> <li>Flat structure: no politics, just great work with great people</li> <li>Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next</li> <li>Long-term focus: we offer equity options and value sustained, meaningful contribution</li> </ul> <h3><strong>Compensation</strong></h3> <ul> <li>The compensation range for this role is GEL14,050 - GEL16,450.</li> <li>Final compensation will be determined based on relevant experience, skills, qualifications, alignment with the role’s requirements and location.</li> </ul> <h3><strong>Benefits</strong></h3> <ul> <li>31 days off</li> <li>100% paid telemedicine plan</li> <li>Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.</li> <li>English learning courses</li> <li>Relevant professional education</li> <li>Gym or swimming pool</li> <li>Co-working</li> <li>Remote working</li> </ul> <p>_{<span style="color: rgb(55, 59, 70);">**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.</span>}</p><div class="content-conclusion"><p class="p1">We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.</p></div>