Senior Machine Learning Engineer

The role involves developing and maintaining the integrity layer of the label platform for risk ML models, defining statistical metrics, and designing audit processes to ensure data quality. The engineer will support model training, evaluation, and deployment pipelines and collaborate with cross-functional teams including data engineering and product management. Strong skills in Python or Java, SQL, and statistical analysis are essential, with experience in machine learning lifecycle management. The position demands a background in STEM, with preference given to experience in fintech or fast-growing technology environments. The work environment promotes autonomous, cross-disciplinary teamwork, with a focus on complex problem solving and reliable data handling.