Machine 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 activities
Collaborate 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 techniques
Design 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

Data Scientist / Machine

Anicalls (Pty) Ltd

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