Description:
MLOps Infrastructure Engineer We are seeking an experienced MLOps Engineer to design and implement scalable data processing pipelines for ML training and validation. The role involves building and maintaining feature stores (batch and real-time), developing data quality monitoring and validation frameworks, and creating systems for dataset versioning and reproducibility. Strong expertise in Google Cloud Platform's data and ML infrastructure (BigQuery, Dataflow, Vertex AI) and data processing fra
Mar 12, 2025;
from:
dice.com