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Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, possess strong communication and critical thinking skills.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching and evaluating new technologies.
Collaborate with teams to implement technology solutions, develop backend systems using Generative AI and low-code platforms, lead AI/ML model development, build various applications, work on data preprocessing, and provide project implementation support.
