Description
Sarvam is hiring an MLOps Engineer to own the model lifecycle across defence and strategic-sector deployments, including model-serving infrastructure, CI/CD pipelines, production monitoring, evaluation tooling, containerised serving in constrained and air-gapped environments, incident response, and operational documentation. The role requires 3–5 years of ML engineering or MLOps experience, production LLM or ML system experience, expertise in model-serving technologies and quantised formats, containerisation, observability, Python, and ML pipeline CI/CD tools.
