ML Engineer

Must-Have Skills Experience with large-scale, production ML systems Strong cloud background — ideally GCP (Google Cloud Platform), but open to AWS or Azure if they're strong Hands-on ML tooling: Tensor. Flow or Py. Torch Kubernetes and Docker (for deployment) Lang. Chain and/or Lang. Graph (or similar agentic frameworks) Cloud Composer (Airflow) Big.

Query Vertex AI and GCP ML stack experience (preferred) Strong coding + engineering background (not just academic modeling) Bonus Skills Experience with Autogen , Lang. Graph , or similar agentic frameworks Prompt engineering and fine-tuning GenAI models Background in AutoML solutions or legacy ML pipelines Strong feature engineering and statistical modeling foundations