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As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale ML algorithms, implement MLOps, and write production-ready code. You will ensure high quality deliverables, collaborate with client teams, and contribute to evaluating new technologies and architecture patterns.

As a Machine Learning Engineer at ZS, you will design and implement model pipelines, scale algorithms for large datasets, develop and maintain ML engineering platforms, and ensure high-quality code for production readiness. You will collaborate with teams, participate in scrum meetings, and contribute to research on new technologies while focusing on continuous model improvement.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for massive data sets, implement ML Ops, and produce high-quality code. You will collaborate with global teams, participate in scrum calls, and contribute to researching new technologies.

As a Data Science Manager, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, research cutting-edge algorithms, and engage with senior clients. You'll also drive team collaboration in solving complex problems, contribute to thought leadership, and enhance ZS talent through recruiting and training.

The Decision Analytics Manager will leverage data analytics and problem-solving techniques to drive business development and project delivery. This role requires collaboration with internal leaders and account teams, focusing on developing methodologies and products for improving supply chain effectiveness in various industries.

Lead the development lifecycle of ML-based products, architect AI-enabled data solutions, engage with client leaders, and foster talent while delivering transformative results in supply chain and manufacturing.

The Principal will drive Supply Chain Practice growth, lead client engagements in Supply Chain & Manufacturing, deliver quality services, and mentor junior consultants. Responsible for managing project risks and staying updated on industry trends, this role requires strong leadership and the ability to motivate diverse teams while providing innovative solutions.