Fundraise Up

Fundraise Up specializes in enhancing online donation processes through AI-driven conversion optimization and integrated payment solutions, enabling organizations to maximize their fundraising potential and improve donor engagement.

Capital Markets

Financials

51-250 (100)

Founded 2017

82 open positions

Links

View All Jobs

Senior ML-Engineer

1 month, 4 weeks ago

Georgia

Full-time

Senior

Machine Learning Engineer

Data Science and Analytics

Apache Airflow CatBoost CI/CD ClickHouse Docker FastAPI Generative AI Git Grafana LLM Machine Learning MLflow MongoDB NLP Pandas Python Redis Reinforcement Learning SQL

Apply Now

Fundraise Up

Capital Markets

51-250

Founded 2017

View All Jobs 82

Description

Develop and deploy ML solutions across different business areas using tabular data, including uplift models and recommender systems.
Select the most appropriate ML or LLM approaches and propose alternative solutions when needed.
Build end-to-end ML systems, including data preparation, training, API development, and monitoring.
Design LLM-powered features such as classifiers, content generation tools, AI assistants, and chatbots.
Work across the full LLM lifecycle, including golden datasets, prompt engineering, fine-tuning, and response evaluation.
Collaborate with multiple product teams as an internal ML service and centre of excellence.
Apply ML solutions to product problems such as optimizing donation amounts, upsell offers, and transaction classification.

Requirements

5+ years of ML/DS experience solving real product problems.
Strong expertise in machine learning and mathematical statistics, including classical algorithms such as gradient boosting and modern NLP/LLM approaches.
Ability to connect ML metrics such as ROC-AUC, F1, and RMSE with business metrics such as CR and LTV.
Strong Python engineering skills with a product-oriented mindset, including clean code, design patterns, and solid engineering practices.
Advanced SQL skills and experience building complex datasets in ClickHouse, plus working with MongoDB.
Hands-on MLOps experience with experiment tracking tools and production workflows such as Docker, Git, and CI/CD.
Ability to work independently, break down problems, choose the right tech stack or justify a non-ML solution, and deliver to production.
Strong English required at B2 level.
Experience with RL and LLM-based solutions, including generation, classification, agents, RAG, and prompt engineering, is preferred.
Experience with the listed tech stack, including FastAPI, Pydantic, MLflow, Airflow, Grafana, Sentry, pandas, Polars, and Redis, is preferred.

Benefits

31 days off.
100% paid telemedicine plan.
Home office setup assistance for furniture and equipment.
English learning courses.
Relevant professional education.
Gym or swimming pool access.
Co-working support.
Remote working.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Software Engineer II, Backend (ML Training & Serving)

Affirm 1K-5K Diversified Financial Services

Affirm is hiring a Software Engineer II for its ML Training & Serving engineering team to build the infrastructure that trains and serves machine learning models across the company.

Canada Full-time Junior Backend Engineer Machine Learning Engineer

$89k-$126k

AWS Kotlin Kubernetes Machine Learning MySQL Python

6 hours, 35 minutes ago

Apply

6 hours, 35 minutes ago

Ssr. Fullstack Engineer

Resilient Co 11-50 Professional Services

Resilient Co. is hiring a semi-senior Fullstack Engineer in Argentina or Brazil to build AI-driven full-stack solutions for enterprise workflows, with a focus on agentic AI, machine learning, backend services, and cloud integration.

Argentina Brazil Contract Senior Full-stack Engineer Machine Learning Engineer

Angular Azure C# CI/CD Django Docker Entity Framework FastAPI Flask Git JavaScript Microservices .NET NumPy Pandas Python RabbitMQ React Scikit-learn Terraform Vue.js YAML

6 hours, 50 minutes ago

Apply

6 hours, 50 minutes ago

[Job 29881] Senior Machine Learning Engineer, Brazil

CI&T 5K-10K Internet Software & Services

CI&T is hiring a Senior Machine Learning Engineer in Brazil to develop and deploy production ML solutions that turn data and AI capabilities into measurable business impact.