Job descriptionMachine Learning and Cloud Engineering 50% Designing machine learning pipelines that curate datasets, train, test, and validate models,compare model performance to existing or previously catalogued models, and then package the models and either deploy them to a real-time serving layer or handle batch scoring activitiesCollaborate with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.Conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows.Assess the effectiveness and accuracy of data sources and data gathering techniquesDesign and develop Machine Learning and Statistical Models (preferably using R & Python), and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data