Senior Ml-Engineer

Highlights:Role:Senior ML-EngineerLocation:Spain, RemoteLanguage:Russian-speaking team; Strong English required (B2)About UsFundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.The world's leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer's Association, and many others. We're proud to maintain a 4.9 out of 5 rating on leading review platforms.We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.The TeamOur product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.We're a tight-knit, high-impact team where every task matters. It's a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.About the RoleWe're looking for anML Engineerwith 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.We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions (generation, classification, agents). 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.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.What You'll DoDevelop 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.Select the most appropriate ML/LLM approaches or propose alternative solutions.Build end-to-end ML solutions: data preparation, training, API development, and monitoring.Design LLM-powered features: from simple classifiers and content generation to complex AI assistants and chatbots.Work across the full LLM lifecycle: golden datasets, prompt engineering, fine-tuning, and response evaluation.Requirements5+ years of ML/DS experience solving real product problemsStrong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approachesMetrics-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 practicesData skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDBMLOps 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 productionOur Tech StackCore: Python (uv, ruff), FastAPI, Pydantic, DockerModels: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)Data: ClickHouse, MongoDB, pandas, Polars, RedisMLOps: MLflow, AirflowMonitoring: Grafana, SentryBonus pointsCuriosity and a hypothesis-driven mindsetAbility to communicate complex analytical concepts to non-technical audiencesDetail-oriented with a strong sense of ownershipComfort working in fast-paced, data-rich environmentsWhy work with usA strong, collaborative product team that owns what it buildsClear product vision and access to real customer feedback from global nonprofit leadersFlat structure: no politics, just great work with great peopleTransparent company culture-we share how we're growing, where revenue comes from, and what's nextLong-term focus: we offer equity options and value sustained, meaningful contributionBenefitsPrivate medical insurance for the employee and their family23 paid vacation days per year11 paid public holidays per year5 company-paid sick leave daysEnglish learning coursesRelevant professional educationGym or swimming poolHome Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspaceCo-workingRemote working**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.

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., 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 Our Tech Stack Core: Python (uv, ruff), FastAPI, Pydantic, Docker Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering) Data: ClickHouse, MongoDB, pandas, Polars, Redis MLOps: MLflow, Airflow Monitoring: Grafana, Sentry Bonus points Curiosity and a hypothesis-driven mindset Ability to communicate complex analytical concepts to non-technical audiences Detail-oriented with a strong sense of ownership Comfort working in fast-paced, data-rich environments Why work with us A strong, collaborative product team that owns what it builds Clear product vision and access to real customer feedback from global nonprofit leaders

Private medical insurance for the employee and their family 23 paid vacation days per year 11 paid public holidays per year 5 company-paid sick leave days English learning courses Relevant professional education Gym or swimming pool Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace Co-working Remote working **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.

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform. The world's leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer's Association, and many others. We're proud to maintain a 4.9 out of 5 rating on leading review platforms. We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia. The Team Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian. We're a tight-knit, high-impact team where every task matters. It's a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.