Today, having a wealth of data on hand or digital literacy isn’t enough to cement an organization’s success — it needs advanced insights and custom tech that can spot inefficiencies, drive decision-making and power innovation. At ZS, the global management consulting and technology firm is leveraging proprietary technology — chief among it, the company’s ZAIDYN platform — to help bring healthcare clients into a new era. In an industry that constantly seeks clear solutions for complex problems, team members at ZS know that their work can positively impact the future of healthcare: “There is nothing more satisfying than seeing your product improving efficiency,” said Associate Principal of Digital & Technology, Laura Elisa Montealegre.
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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.