Machine Learning Engineer

• Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.• Design and implement Machine learning models and data ingestion pipelines. • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. • Expand and optimize data pipelines, data flow, and collection for cross functional teams. • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements. • Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. • Support the building of machine learning, data platforms, and infrast...