Senior Machine Learning Engineer

Who you are

• Experienced Machine Learning Engineer or Full-stack Data Scientist with a solid track record in delivering production-grade ML solutions
• Proficient in Python and SQL-based programming
• Skilled in working with cloud-based data platforms such as Databricks
• Experienced in deploying machine learning models and API services (e.g., FastAPI) in production environments
• Strong understanding of system architecture and ability to design scalable ML solutions
• Analytical and critical thinker with a proactive, results-driven mindset
• Comfortable working in fast-paced, start-up environments with minimal supervision
• Educational background in mathematics, engineering, economics, or computer science
• Fluent in English, capable of working in an international environment

What the job involves

• As we expand, we’re looking for a Senior Machine Learning Engineer to join our Data Science & Machine Learning team and help us scale our efforts through data-driven insights and advanced machine-learning models
• Develop and deploy full-stack ML models (binary classification and regression) to detect and prevent financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment
• Manage and optimize a portfolio of transaction monitoring rules, improving their efficiency and reducing false positives
• Automate the end-to-end machine learning lifecycle using AutoML approaches
• Work with large datasets from DWH systems (PostgreSQL, Databricks) for analysis and feature engineering
• Contribute to building and improving infrastructure for ML model operationalization and inter-service communication