* Proven experience in cloud architecture and deploying ML models in production.
* Strong proficiency in Python and infrastructure-as-code (Terraform or CloudFormation).
* Experience with SQL/NoSQL databases and data engineering pipelines.
* A "Build-to-Scale" mindset—understanding that reliability is as important as innovation.