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Design, develop, and deploy production‑grade Multi‑Agent Systems (MAS) and agentic workflows using Gemini Enterprise, integrating cloud or on‑prem pipelines and generative AI models.
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image analysis.
VARITE INDIA PRIVATE LIMITED · Posted Nov 4, 2026
Lead design, development, and deployment of multi‑agent systems and agentic workflows using Gemini Enterprise and related Google Cloud technologies.