You will own the end-to-end data journey from ingestion to business impact, designing scalable models that support both human and AI-driven analytics. Additionally, you will collaborate with cross-functional teams to turn business requirements into maintainable data products while ensuring high data quality and governance.
You will build and deploy production-ready machine learning solutions while owning the end-to-end lifecycle from data pipelines to monitoring. Additionally, you will collaborate with engineers and product managers to identify high-impact ML and GenAI opportunities to solve business problems.
You will build and deploy production-ready machine learning solutions while owning the end-to-end lifecycle from data pipelines to monitoring. Additionally, you will collaborate with engineers and product managers to identify high-impact ML and GenAI opportunities to solve business problems.
Build and optimize cloud-native data pipelines on AWS using AI tooling to power analytics and ML systems. Design data models and implement governance and testing to ensure high data reliability and auditability.
Build and optimize cloud-native data pipelines and infrastructure on AWS to power AI and analytics. Design scalable data models and implement governance to ensure reliability for operational and financial reporting.
Own the global onboarding strategy, operating model, and quality standards across multiple international markets. Lead and develop regional onboarding teams to ensure fast and predictable customer go-lives at scale.
Own the global onboarding strategy, operating model, and quality standards across multiple international markets. Lead and develop distributed onboarding teams to ensure fast and predictable customer go-lives at scale.
