Machine Learning Engineer

Design, build, and maintain end-to-end machine learning pipelines from data ingestion to model deployment and monitoring.
Productionize models in collaboration with data scientists to ensure performance, maintainability, and observability.
Develop robust APIs, batch workloads, and streaming solutions to integrate ML into products and workflows.
Implement MLOps for automated training, testing, deployment, and monitoring of production models.
Optimize model performance and resource use; partner with data engineering to ensure high-quality data.
Stay current with advances in ML infrastructure and tooling to improve delivery speed and system quality.