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 DevOps. 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.