Platform Engineer with AI/ML

Packaging and deploying trained models into production environments, Tracking key metrics and detecting model drift or degradation, Managing model versions: Implementing version control for models and datasets.

Note:
Core Tools & Tech Stack:
GitHub Actions (CI pipelines)
Harness (CD pipelines)
JFrog for image management
Docker
Kubernetes (application deployment)
Google & Azure AI Foundry / Model Garden
Akeyless (secrets management)
Dynatrace (monitoring)
Python (basic scripting)
Nice to Have:
Redis, PostgreSQL, YugabyteDB
Preference:
Strong AI understanding combined with platform engineering is the ideal fit