Top Tech Jobs & Startup Jobs in Bengaluru

The role involves developing and supporting conversational AI solutions, ensuring system stability, and collaborating with teams to integrate Google AI technologies in healthcare delivery.

The role involves developing and supporting AI solutions in a production environment, focusing on conversational AI through platforms like Google Gemini and Dialogflow. Responsibilities include incident management, proactive monitoring, and collaborating with teams to enhance performance.

Lead SAP Rebates & Incentives development teams, configure pricing and contract solutions in S/4HANA, and collaborate cross-functionally to ensure system stability and integration.

This role oversees Procure to Pay functions for Pharma, ensuring compliance, leading teams, communicating with stakeholders, and automating incidents while providing functional expertise in SAP modules.

The Engineer will design, develop, and implement Master Data Management solutions using SAP MDG and S4 HANA to support Cardinal Health's operational goals. Responsibilities include application development, data architecture, and system integration while ensuring system stability and performance.

Lead SAP Supply Chain Execution initiatives, develop solutions, collaborate with teams, ensure compliance, and guide stakeholders in a global environment.

The eCommerce Engineer will design and develop eCommerce solutions using SAP Commerce (Hybris), focused on upgrading, API integration, and UI engineering. Responsibilities include architecture design, troubleshooting, and collaborating across teams.

The role involves applying basic job skills in data management and governance, focusing on data quality, standards, and strategic usage. Tasks require standard problem resolution with general direction.

The Supervisor will lead Data Governance initiatives, manage data quality, and engage with global stakeholders to ensure data reliability and operational excellence.

The Data Analytics Manager oversees teams focused on Data transformation for Analytics and Machine Learning solutions, applying Software Engineering and DevOps practices, and ensures operational efficiency through leadership and relationship management.