Distrito

• Design and implement scalable data architectures to support machine learning models and generative AI • Develop and optimize pipelines for ingestion, processing, and storage of large volumes of data • Work with solution architects and machine learning engineers to translate business requirements into efficient technical solutions • Ensure data quality, governance, and security by applying data engineering best practices • Implement MLOps strategies to automate pipelines and model versioning • Collaborate on the integration of APIs and distributed systems for real-time data processing • Monitor the performance and scalability of data systems, identifying optimization opportunities