Senior Machine Learning Engineer

• Develop full-stack machine learning models, including binary classification and regression, for financial-crime detection and prevention during transaction processing and client onboarding
• Gather requirements, prototype solutions, and deploy models in production
• Own and evolve the Dynamic Risk Score across all markets, scoring the full client base daily
• Manage transaction rules with ML-driven detection and optimize performance and alert volumes
• Establish continuous monitoring of model and rule performance in production
• Develop a champion-challenger framework to keep the best-performing model live
• Contribute to ML infrastructure development for model operationalization and inter-service interactions
• Deploy, serve, monitor, and improve the production ML product

• At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist
• Production deployment experience, including API services such as FastAPI
• Strong SQL and Python skills
• Experience with cloud data platforms such as Databricks
• Strong architectural skills to design and improve infrastructure serving models of varying complexity
• Experience with model monitoring and champion-challenger / A-B evaluation in production
• Quantitative education in math, engineering, economics, or computer science
• Full working proficiency in English
• Exposure to graph modeling or foundation models/embeddings is a plus
• Critical, analytical thinker; proactive, result-driven, and comfortable working with little supervision in a start-up setting

• Resources and opportunities for continuous personal and professional development
• Flexibility to travel and work remotely or in a hybrid model across Europe
• Stock Options Program available to every team member
• Constant support and care in a modern, friendly, and eco-conscious corporate culture
• Work & Swim Program: one month in a corporate apartment in Cyprus