Senior mlops engineer

Job Scope:
As a Senior MLOps Engineer, you will own the operational backbone that takes AI models from experimentation to reliable, scalable, and cost-efficient production.
This role sits at the intersection of AI/ML, infrastructure, and Dev Ops. You will ensure models are reproducible, observable, secure, and continuously improving in real-world environments. You will work closely with AI researchers, ML engineers, infrastructure teams, and product leaders to operationalize AI at enterprise scale workflows.
Total /Relevant Experience
7+ years of relevant experience in MLOps, ML Engineering, or AI Platform roles.
Key Responsibilities:
A. Model Deployment & Lifecycle Management
Design and maintain robust pipelines for model training, validation, deployment, rollback, and versioning.
Own end-to-end model lifecycle management across experimentation, staging, and production.
Enable safe and repeatable promotion of models using CI/CD practices.
Implement model ...