Senior Mle - Mlops, Python, Gcp, Vertexai, Gke

HCM Portal (UPS)

In, IN, United States
Mlops practices
Google cloud platform
Python programming
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. UPS is committed to providing a workplace free of discrimination, harassment, and retaliation

Job Summary

  • We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Matching Summary

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills & Requirements

Must-have

  • MLOps practices
  • Google Cloud Platform
  • Python programming
  • Kubernetes experience

Nice-to-have

  • Experience in Azure MLOPS
  • Familiarity with Cloud Billing
  • Agile environment experience

Key Requirements

  • Bachelor’s Degree in quantitative field
  • Experience in model monitoring
  • Understanding of ML algorithms

Work Rights

Not specified

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