AI/ML
- AI/ML Solution Architecture and Design
- MLOps
- Prompt Engineering
ResponsibilitiesPython, data structures, basic software engineering discipline (clean code, testing)ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluationData handling: SQL, data quality, feature understandingGit, basic CI/CD awarenessCloud basics (any of AWS/Azure/GCP), containers (Docker) basics Additional ResponsibilitiesDistributed computing: Spark, RayData engineering…