Teams at ZS

Leads end-to-end cloud technology consulting projects, delivering scalable data and technology solutions for clients. Responsibilities include project leadership, technology strategy, delivery management, cloud architecture, data management, analytics, process automation, application development, team mentoring, business case development, and global client collaboration. The role also requires troubleshooting database, operating system, and application interactions and traveling as needed for client engagements.

Lead end-to-end technology consulting projects using cloud platforms, ensuring scalable, resilient, cost-effective solutions delivered on schedule and within budget. Manage global project teams, mentor team members, facilitate client interactions, develop business cases, and support innovation initiatives. Apply expertise in enterprise data management, advanced analytics, process automation, application development, databases, operating systems, and agile delivery while collaborating with clients and internal experts.

Designs and implements production-grade machine learning and GenAI features, pipelines, and platform components. Responsibilities include coding, testing, debugging, architecture support, code reviews, proofs of concept, agile collaboration, client requirements analysis, feature estimation, and mentoring. The role requires deploying ML models at scale, using ML engineering platforms and big-data technologies, and developing reusable metadata-driven batch and real-time data pipeline patterns.