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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Build a world-class technology infrastructure by establishing and maintaining an efficient working environment committed to delivering prompt and reliable solutions to all ZSers and our clients.
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ZS offers advanced artificial intelligence and analytics solutions to help organizations unlock smarter operations and strategic transformation. We develop integrated analytics strategies, handle data management, and build scalable tools for insight generation. ZS leverages cloud platforms, AI-driven insights, and personalized solutions to enhance business outcomes across industries. Two critical areas of focus for us are on our Decision Analytics and Business Technology Solutions teams.
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The role involves working on AI products and client solutions using machine learning engineering and data science tech stack. Key responsibilities include designing ML platforms, building advanced ML pipelines, collaborating with data scientists to create AI models, managing the complete ML lifecycle, and mentoring team members.
You will work on ZS AI products and client AI solutions, creating GenAI applications, providing technical expertise in ML tech stack, collaborating to develop AI models, and managing the end-to-end ML lifecycle while leading and mentoring a team.
The role involves working on AI products and client solutions, developing GenAI applications, collaborating with data scientists to design AI models, building ML platforms, and managing the ML lifecycle. The Specialist will also lead a team, mentor talent, and ensure technical robustness through design and code reviews.