Mlops Engineer - only W2

We recommend focusing on candidates with strong hands-on experience in Google Vertex AI-based batch processing pipelines. The ideal candidate should demonstrate expertise in the following areas:

End-to-End Machine Learning Pipeline Development

• Data pre-processing
• Batch prediction workflows
• Post-processing activities

ML Pipeline Development & Orchestration

Hands-on experience building and orchestrating machine learning pipelines using:

• Kubeflow Pipelines (KFP Components)
• Google Cloud Dataflow (including Flex Templates)
• Google Vertex AI services

Technical Skills

Candidates should also be proficient in:

• Writing SQL queries for data preprocessing and post-processing tasks
• Developing Python-based workflows to integrate and orchestrate multiple pipeline components
• Deploying, monitoring, and managing Vertex AI Batch Prediction jobs
• Applying data engineering principles for large-scale data processing

Preferred Qualifications

• Strong expertise in SQL and Data Engineering
• Experience designing scalable, production-grade data and ML pipelines
• Familiarity with Google Cloud Platform ecosystem and best practices for ML workflow automation

Note: Candidates with a strong background in SQL, Data Engineering, Vertex AI, Kubeflow Pipelines, and Google Cloud Dataflow will be highly preferred.