-
. • Knowledge of model evaluation techniques and metrics, including accuracy, precision, recall, F1-score, robustness, fairness, explainability, privacy, safety, reliability, security, and responsible AI
-
systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and fault tolerance, cyber-physical systems, Internet
-
development. Job Details The successful candidates are expected to: • Design scalable and reusable ML pipelines (data, models, pipelines, evaluation tools) and package toolkits (Python libraries, Docker images
Searches related to reliability evaluation
Enter an email to receive alerts for reliability-evaluation positions