Description
The Machine Learning Engineer will collaborate with stakeholders to define machine learning and artificial intelligence problems, collect and analyze large datasets, select algorithms, develop and train models with Python or R and TensorFlow or Pytorch, engineer features, integrate models into systems, optimize for scalability and efficiency, and monitor deployed models. The role also involves cross-functional collaboration, documentation, security, ethical considerations, and production deployment for millions of users. A bachelor's or master's degree in a relevant field, programming proficiency, machine learning framework experience, statistical analysis and data mining knowledge, and production deployment experience are required.
