Mlops Engineer

Job Description: Recommend focusing on candidates with strong experience in Vertex AI-based batch processing pipelines . The candidate should demonstrate a solid understanding of: End-to-end ML pipeline components: Data preprocessing Batch prediction workflows Post-processing activities Building and orchestrating ML pipelines using: Kubeflow Pipelines (KFP components) Google Cloud Dataflow (including Flex Templates) Vertex AI services Additionally, candidates should be comfortable with: Writing SQL queries for data preprocessing and post-processing tasks Developing Python-based workflows to integrate and orchestrate multiple pipeline components Deploying and managing batch prediction jobs in Vertex AI Data engineering concepts and large-scale data processing Strong SQL and data engineering expertise would be a significant advantage.