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Develop statistically effective algorithms and apply machine learning, deep learning, and generative AI techniques to high-dimensional problems. Use hypothesis testing, data mining, and big-data tools to identify trends, build predictive models and recommender systems, collaborate with clients and stakeholders, and evaluate emerging datasets and technologies for scalable analytical solutions.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Lead AI Scientist will design and optimize LLM architectures, fine-tune models, develop AI systems, mentor junior members, and collaborate with clients and teams on AI solutions.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead design, delivery, and evolution of GenAI platforms and services. Own architecture, backend services, and integrations with LLMs. Manage and mentor senior engineers, drive engineering standards, ensure scalability, reliability, and operational readiness, and partner cross-functionally to deliver high-quality, production AI systems.

Manage Salesforce Health Cloud projects, lead delivery, develop capabilities, mentor teams, and design customized solutions for healthcare organizations.

The Enterprise Architect will design scalable solutions, engage with clients, drive technology innovations, and manage client relationships while mentoring juniors within ZS's Technology Advisory Practice.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.