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Mlops Engineer

Talent Groups

 

Minneapolis, MN, USA

Posted On: Just posted
Experience: 6+ years
Availability: Onsite
Openings: 1
Category: MLOps Engineer
Tenure: Contract - Corp-to-Corp
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Description

You will build and orchestrate ML pipelines for batch prediction workflows using Google Cloud Platform.

This role is on-site.

Responsibilities

  • Build and orchestrate ML pipelines using Kubeflow Pipelines, Google Cloud Dataflow (Flex Templates), and Vertex AI services.
  • Develop Python-based workflows to integrate and orchestrate multiple pipeline components.
  • Deploy and manage batch prediction jobs in Vertex AI.
  • Write SQL queries for data preprocessing, post-processing, and large-scale data engineering tasks.

Required Skills

  • 6+ years of work experience with SQL.
  • 5+ years of work experience with Python.
  • 4+ years of work experience with Google Cloud Platform (GCP).
  • Strong data engineering concepts and expertise in large-scale data processing.
  • Experience with Kubeflow Pipelines (KFP components).
  • Experience with Google Cloud Dataflow, including Flex Templates.
  • Experience with Vertex AI services.

Preferred Skills

  • Bachelor's degree in a relevant field.

Education

Bachelor's degree

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