Senior Machine Learning Engineer – Mlops, Vertexai, Llms, Genai, Ml Model Management

UPS

In, IN, United States
Mlops practices for enterprise ml systems
Google cloud platform (gcp) expertise
Vertex ai, kubernetes, bigquery, terraform
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP)

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).

Skills & Requirements

Must-have

  • MLOps practices for enterprise ML systems
  • Google Cloud Platform (GCP) expertise
  • Vertex AI, Kubernetes, BigQuery, Terraform
  • Automating ML workflows and CI/CD pipelines
  • Model monitoring, performance optimization, bias detection
  • Python, SQL programming languages

Nice-to-have

  • Experience in Agile environment
  • Familiarity with Cloud Billing
  • Setting up NLP, Gen AI, LLM applications

Key Requirements

  • Bachelor’s Degree in a quantitative field or equivalent job experience
  • Experience with GCP tools like BigQueryML, Vertex AI Pipelines
  • Understanding of Machine Learning concepts, models and algorithms
  • Solid oral and written communication skills

Work Rights

Not specified

Tailored Resume

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