AI/ML Engineer III

McDonald’s Corporation

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Quick summary

Work type
On-site
Location
Hyderabad, Telangana, India
Posted
1 day ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $180k
$132k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $146,500–$214,000.

Based on 240 similar postings.

Employer

About McDonald’s Corporation

McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.

McDonald’s Corporation currently has 43 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 26 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer III

As an AI/ML Engineer III, you will join the engineering team to lead the design, automation, and governance of enterprise-scale AI/ML platforms on Google Cloud Platform. You will build secure, scalable, and self-service capabilities that enable data scientists and product teams to accelerate the development and deployment of AI solutions. Your daily work involves developing infrastructure as code using Terraform, managing Vertex AI services, and implementing CI/CD pipelines with tools like GitHub Actions, Jenkins, and SonarQube. You will also manage core cloud components including BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, and Dataplex. The role focuses on solving complex infrastructure challenges by establishing platform reliability, security controls, and governance frameworks to support MLOps, LLMOps, and the integration of emerging generative AI technologies into the corporate ecosystem.

What you'll do

  • Design and maintain enterprise-grade AI/ML platform services using Vertex AI and Google Cloud Platform.
  • Build and manage Infrastructure as Code (IaC) solutions using Terraform and cloud-native automation frameworks.
  • Develop scalable self-service capabilities for model development, training, deployment, and lifecycle management.
  • Establish reliability, observability, and incident management protocols to ensure high availability of platform services.
  • Design and govern enterprise CI/CD pipelines including automated testing, security scanning, and release automation.
  • Implement enterprise security controls, IAM policies, and governance frameworks for AI/ML workloads.
  • Integrate and optimize various GCP services like BigQuery, Cloud Storage, and Dataflow into the AI ecosystem.
  • Lead the adoption of emerging technologies including Generative AI and LLM platforms.

What we're looking for

  • 7-11 years of experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering, or AI/ML Platform Engineering.
  • 4+ years of hands-on experience designing and implementing AI/ML platforms on Google Cloud Platform.
  • Strong experience with Vertex AI and enterprise AI/ML ecosystem services.
  • Expertise in Infrastructure as Code using Terraform.
  • Strong programming experience in Python, SQL, and automation frameworks.
  • Hands-on experience with GitHub Enterprise, GitHub Actions, Jenkins, Cloud Build, SonarQube, and CI/CD implementations.
  • Experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, and Dataplex.
  • Strong understanding of cloud networking, security architecture, IAM, governance, and compliance controls.

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