Sr Machine Learning Engineer

Design, develop, and implement scalable machine learning models and algorithms to solve complex problems.
Build robust data processing pipelines; preprocess and analyze large datasets to derive actionable insights.
Deploy ML solutions to production using modern frameworks and cloud platforms, ensuring data quality and governance.
Collaborate with data scientists, software engineers, and product teams to integrate models into products and services.
Monitor and evaluate model performance; iterate to improve accuracy, robustness, and reliability.
Leverage transformer architectures, RL, graph models, and self-supervised methods to address high-impact use cases like risk and fraud.