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Master DataOps Engineer responsible for end‑to‑end environment provisioning, CI/CD pipeline engineering, monitoring, cost governance, and client engagement for a large‑scale Finance data platform modernization.
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative AI models into solutions and works on diverse AI technologies such as deep learning, neural networks, chatbots, and image processing.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.