MLOps Engineer

Job Description-

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.