- Distributed computing: Spark, Ray
- Data engineering familiarity: ETL/ELT, orchestration (Airflow/ADF)
- Security basics: secrets management, IAM concepts
Technical Foundation (Most AI/ML Roles) Must-have (baseline):
- Python, data structures, basic software engineering discipline (clean code, testing)
- ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluation
- Data handling: SQL, data quality, feature understanding
- Git, basic CI/CD awareness
- Cloud basics (any of AWS/Azure/GCP), containers (Docker) basics
