The role involves building and maintaining natural language processing pipelines using various frameworks and models. The developer will create scalable data ingestion and transformation pipelines to support analytics and artificial intelligence use cases. Responsibilities include developing application programming interfaces for model inference and service integrations. The position requires managing machine learning models through tracking and versioning systems. Additionally, the developer will support continuous integration and deployment workflows while ensuring system health through monitoring tools.

The role requires 35 years of hands-on Python programming experience along with strong fundamentals in object-oriented programming and design patterns. Candidates must possess solid experience with distributed data pipelines and specific libraries for data processing and natural language processing. Proficiency in building application programming interfaces, managing machine learning models, and working with in-memory stores is necessary. Familiarity with Linux command-line operations, job scheduling, and cloud services is also required.