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.