Sr. Machine Learning Engineer/Data Scientist

We are looking for an experienced, permanent/full-time Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse. Key responsibilities include designing and implementing ML-based anomaly detection algorithms, processing and analyzing unstructured marketing data, developing NLP pipelines, creating detection algorithms, implementing feature engineering processes, establishing model monitoring systems, collaborating with Business Analyst on rule-based detection criteria, and implementing feedback loops for continuous model improvement.