Top Tech Jobs & Startup Jobs in Delhi

The role involves managing AI model lifecycles using GCP, implementing RAG pipelines, automating workflows, and ensuring AI observability and compliance.

Responsibility includes designing and developing Oracle EBS HRMS modules, customizing workflows, generating reports, and providing support for implementations and enhancements.

The LLM Full-Stack Developer will design, build, and operate AI applications, focusing on LLMs and SLMs, integrating front-end and back-end components while ensuring performance and safety in production environments.

Lead the design and development of graph-based data models and knowledge graphs using Neo4j. Architect solutions enabling AI integration and optimize performance for large datasets.

The Lead Data Engineer will design data architectures, implement data pipelines, optimize performance, handle data governance, and collaborate with AI teams to enable data insights.

The Lead BI/ML Developer will design and implement BI dashboards and conversational analytics, integrating ML models and optimizing workflows.

The Lead BigQuery / Graph DBA will design and optimize cloud-native data warehouses and graph databases, focusing on performance, integration with AI, and data governance.

The O365 Engineer will design, deploy, and manage Exchange Online and Microsoft Teams, handle mailbox management, troubleshoot issues, and maintain the Teams environment.