Senior Machine Learning Engineer at Zendesk

This role is designed for a seasoned engineer with over five years of experience who has moved beyond building basic models into architecting the infrastructure that runs them. You should have a deep background in Python and containerized deployments, specifically focused on the "plumbing" of GenAI like LLM proxies, cost attribution, and automated evaluation pipelines. **What makes it worth a look...** You get to lead the infrastructure strategy for agentic workflows and LLM orchestration at a major global scale. While it is a hybrid role requiring you to be based in Karnataka or Maharashtra, the focus on building gold-standard datasets and safety filters for a massive customer service platform offers significant technical complexity and impact. **You might be a good fit if you...** * Have spent years running production ML systems using Kubernetes and AWS. * Know how to build routing and caching layers to manage LLM vendor costs and latency. * Can design rigorous A/B testing frameworks to measure hallucination signals and model quality. * Enjoy building the internal tooling that helps other developers deploy AI safely.