Machine Learning Engineer, Digital Products

**Role Overview:** As a ML Engineer at U.S. Pharmacopeial Convention (USP), you will be a crucial part of the Digital product engineering team. Your expertise in building robust Data/ML pipelines, managing large-scale data infrastructure, and enabling advanced analytics capabilities will play a key role in supporting projects aligned with USP's mission to protect patient safety and improve global health. You will be responsible for implementing scalable data collection, storage, and processing ML pipelines, optimizing data models and pipelines to support self-service analytics tools, and collaborating with data scientists to operationalize machine learning models. **Key Responsibilities:** - Implement scalable data collection, storage, and processing ML pipelines to support enterprise-wide data needs. - Build and optimize data models and pipelines for self-service analytics tools like Tableau, Looker, and Power BI. - Collaborate with data scientists to integrate machine learning models into production data pipelines for scalability and performance. - Build and maintain data pipelines for structured, semi-structured, and unstructured data. - Support ETL/ELT workflows and data ingest…