Job Description
<p><a name="_Hlk232520696"><b>Position</b>: MLOps Engineer</a> </p> <p><b>Level:</b> Senior </p> <p><b>Experience:</b> 8 10 years <a name="_Hlk232520730"></a></p> <p><b>Location:</b> Noida (hybrid)</p> <p><b>Budget:</b> 16-18 LPA</p> <p> </p> <p><b>About the role</b> </p> <p>You own the infrastructure that keeps our AI products running - and running <i>accurately</i> - long after launch. This is a combined <b>DevOps + MLOps</b> role because the two disciplines now overlap heavily in production AI systems, and we'd rather have engineers who think across both than two silos that hand work over a wall. </p> <p>You build the CI/CD pipelines, manage the cloud infrastructure, and operate the model lifecycle: deployment, monitorin...