Senior Machine Learning Engineer

The Senior Machine Learning Engineer will explore, design, and build AI prototypes to enhance user experiences. They will collaborate with Data Scientists to build and deploy ML solutions, test new algorithms, and provide feedback on their performance, accuracy, and scalability. Responsibilities include writing optimized, performant, scalable, testable, maintainable, and observable code. The engineer will design scalable solutions for productionizing ML models, develop tools and pipelines for tracking models and experiments, and design and implement data pipelines for real-time data ingestion. Managing the ML model lifecycle, including versioning, training, retraining, deploying, and monitoring, is crucial. The role involves maintaining and operating algorithms, codes, and models in production, monitoring them for anomalies, and researching new tools and technologies. Additionally, the engineer will establish best practices for the ML engineering role and evangelize a data-driven culture within a collaborative environment.