1. Basic Machine Learning Concepts - Understanding of core ML algorithms and evaluation metrics - Hands-on experience with small-scale model training and testing
2. Python Programming for AI/ML - Solid foundation in Python and libraries like pandas NumPy matplotlib scikit-learn - Comfortable with scripting using Python
3. GCP Services - Mid level experience with Vertex AI Services BigQuery Cloud Storage and Cloud Run
4. MLOps & CI/CD for ML - Versioning using GitHub (commit PR Branch Tag etc.) - Understanding of CI/CD pipelines (for AI & ML)
5. Infrastructure as Code (IaC) - Ability to write terraform templates for medium complexity application (one that involves 5-6 GCP components) is a must - Familiarity with Docker demonstrated expertise with either o Observability/Eval
Experience with GCP prompt/response observability services
Experience with Arize Observability is a plus