ai-ml-principal-engineer

No clear malware or intentional sabotage is present in the shown fragment. The highest-risk issue is loading untrusted or tampered joblib and TorchScript model artifacts, which can lead to code execution during startup or inference. Hardcoded MLflow/PostgreSQL credentials, unauthenticated network services, unrestricted batch input, direct error disclosure, and mutable CI/dependency references create significant security weaknesses that should be remediated. Assessment is limited to the displayed portion.