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As a Lead AI Engineer, you will build and enhance ML engineering platforms, scale algorithms for large data sets, and create model pipelines. You'll collaborate with teams on technical requirements, write production-ready code, conduct code reviews, test edge cases, and stay informed on the latest architecture patterns and technologies.
As a Lead AI Engineer, you will build and refine machine learning engineering platforms, scale algorithms for large datasets, and implement ML Ops. Collaborate with teams to gather technical requirements, write production-quality code, and ensure high-quality deliverables through best practices and testing. Participate in agile ceremonies and explore new architecture patterns to improve solutions.
As a Lead AI Engineer at ZS, you will build and refine ML Engineering platforms, scale ML algorithms for large datasets, and implement ML Ops practices. The role involves collaborating with teams to gather technical requirements, creating model pipelines, writing production-ready code, and ensuring the quality of deliverables through testing and best practices.
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The Director of Data Partnerships at ZS will lead a team advising on data strategy and partnerships within the healthcare sector, focusing on data governance, sourcing, management, and compliance. This role involves collaboration with various teams to identify data needs and develop innovative solutions for clients.
The Machine Learning Engineer will collaborate with data science teams to transition ML models from development to production, develop automated processes, ensure efficient deployment, implement security controls, and ensure compliance with industry standards while communicating with stakeholders.
The Senior Machine Learning Engineer will lead the transition of ML models from development to production, manage model versioning and deployment processes, implement monitoring and security measures, and mentor junior engineers while collaborating with cross-functional teams to meet project objectives.
As a Decision Analytics Associate Consultant, you will analyze healthcare data from Electronic Health Records (EHR) to extract insights, support healthcare providers, and apply statistical models to inform decision-making. You will design custom analyses to address client needs and communicate results effectively while developing client relationships.
As a Decision Analytics Associate Consultant, you will analyze healthcare data, particularly Electronic Health Records, to derive insights that enhance decision-making and patient care. You will develop statistical models, synthesize results, and support provider clients through tailored analyses and presentations.
As a Decision Analytics Associate Consultant, you will develop statistical models, leverage analytic techniques, design analyses using various tools, communicate results, maintain client relationships, create project deliverables, implement solutions, and guide Associates on projects.
Analyze healthcare data, focusing on extracting insights from Electronic Health Records (EHR) to improve decision-making and patient care. Collaborate with clients to understand their data needs, ensure data quality, and communicate actionable insights. Play a critical role in executing analytics plans and delivering solutions to healthcare providers.
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