MLFlow / MLops Engineer

Job description :

JD : SRE ML Ops - Predominantly development exp, some experience of devops

SRE ML Ops Role – Primarily development-focused with exposure to DevOps practices. Involves managing ML pipelines using frameworks like PyTorch and TensorFlow, implementing CI / CD deployments, and contributing to infrastructure within the CD group, which handles both infra management and development.

Pipeline management using ML framework

exposure on SRE, implementing CI / CD pipeline deployment

pytorch or tensorflow

CDT (Cloud Devops tool) group - infra management, where they do dev work as well.