Machine Learning Engineer

Swish Analytics is seeking a Machine Learning Engineer to design, prototype, implement, and evaluate systems for generating sports datasets and predictions with high accuracy and low latency. The role involves evaluating internal modeling frameworks, building and maintaining production systems, and collaborating with DevOps and Data Engineering teams. The ideal candidate will support the maintenance of cloud-native EDW and ETL solutions, promote best practices for software development, and apply large-scale data processing techniques to create innovative sports betting products. Experience with debugging and deploying production-grade components is essential. The role requires participating in the development of database structures that fit into the overall architecture of Swish systems.