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Job Details

Skills

Google Cloud
Machine Learning (ML)
Vertex
Python
Data Processing
Artificial Intelligence
Machine Learning Operations (ML Ops)

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91088983
Position Id: 9043935
Posted 17 hours ago

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