ML Engineer: Spark Pipelines for Anomaly Detection

Samsung Austin Semiconductor is seeking a Machine Learning Engineer to build and maintain model pipelines for anomaly detection and root cause analysis. You will harness PySpark to process large-scale time-series data, prepare training datasets, and manage the full deployment lifecycle in production.

You will design robust ML pipelines, validate models, optimize Py Spark jobs, and collaborate with teams in a sprint-driven environment.