AI/ML Engineer III
McDonald's24 days ago
Responsibilities
- Design, build, and maintain enterprise AI/ML platform services using Vertex AI and Google Cloud Platform.
- Define platform architecture standards, reusable patterns, reference implementations, and self-service capabilities for model development, training, deployment, and lifecycle management.
- Build Infrastructure as Code, automation modules, deployment blueprints, and platform accelerators using Terraform and cloud-native automation frameworks.
- Implement platform reliability, resiliency, disaster recovery, high availability, monitoring, observability, alerting, incident management, and operational metrics.
- Design and govern CI/CD frameworks with automated testing, validation, security scanning, compliance checks, and release automation.
- Integrate GitHub, GitHub Actions, Cloud Build, Jenkins, SonarQube, and DevSecOps controls into platform pipelines.
- Implement security controls, IAM policies, service identities, secrets management, governance frameworks, auditability, model governance, and compliance reporting.
- Lead implementation and governance of Vertex AI Workbench, Pipelines, Feature Stores, Model Registry, Endpoints, and GenAI capabilities.
- Build integrations across BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, and Dataplex.
- Support MLOps, LLMOps, AI application development, platform modernization, and adoption of emerging AI technologies.
Requirements
- 7–11 years of experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering, or AI/ML Platform Engineering.
- At least 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.
- Experience implementing observability solutions using Cloud Monitoring, Logging, dashboards, and telemetry frameworks.
- Proven experience designing scalable, reliable, and secure cloud platforms.
- Excellent problem-solving, communication, stakeholder management, and leadership skills.
Tech Stack
Categories
About McDonald's
McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in over 100 countries. More than 90% of McDonald’s restaurants worldwide are owned and operated by independent local business men and women. McDonald's & our franchisees employ 1.9 million people worldwide. We serve the world some of its favorite foods - World Famous Fries, Big Mac, Quarter Pounder, Chicken McNuggets and Egg McMuffin. To learn more about the company, please visit www.aboutmcdonalds.com.