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Supervisor, Data Operations & Management

McDonald's - Netherlands · werkenbijmcdonalds.nl
HyderabadMid level4–7 yrs
Apply on McDonald's - Netherlands’s site

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The job in short

AI/ML platform engineering on GCP: building Vertex AI platform services, Terraform, CI/CD and self-service tooling.

GCPTerraformDevOpsComplianceBigQueryPythonKubernetesDockerAirflow

Details

Found
12 d ago · posted 2026-09-04
Location as listed
Hyderabad, TS, IN
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

Job Description: About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Overview We are seeking a highly skilled AI/ML Platform Engineer to design, build, and enhance enterprise AI/ML platform capabilities on Google Cloud Platform (GCP). The role focuses on developing scalable platform services, automation frameworks, governance controls, and self-service capabilities that enable Data Scientists, AI Engineers, and AI/ML Operations teams to efficiently develop and operationalize AI solutions. Key Responsibilities Platform Engineering • Develop and enhance AI/ML platform services leveraging Vertex AI and GCP services. • Build reusable platform components, templates, accelerators, and SDKs. • Develop platform APIs, integrations, and automation frameworks. • Support the implementation of scalable and secure platform architectures. Platform Enablement • Build self-service onboarding capabilities for AI engineers and data scientists. • Create reusable development patterns, standards, and best practices. • Improve developer experience through automation and tooling. • Support platform adoption across AI and data teams. Platform Automation & DevOps • Develop CI/CD frameworks and automation pipelines for platform services. • Implement Infrastructure as Code (Terraform) and configuration management practices. • Maintain source code repositories, testing frameworks, and code quality controls. • Automate platform provisioning, configuration, and lifecycle management. Governance & Security • Implement platform governance controls, access management, and security standards. • Support auditability, compliance, and platform guardrails. • Assist in implementing Responsible AI and Agent Governance capabilities. • Partner with Security and Architecture teams to align platform controls. Reliability & Observability • Implement platform monitoring, logging, alerting, and health checks. • Support platform performance, scalability, and availability improvements. • Contribute to observability dashboards and operational readiness initiatives. • Assist with platform capacity planning and resiliency engineering. Collaboration & Continuous Improvement • Collaborate with AI/ML Platform Leads, Data Scientists, Data Engineers, and AI/ML Operations teams. • Participate in platform architecture reviews and engineering improvements. • Evaluate emerging AI technologies and recommend platform enhancements. • Contribute to platform documentation, knowledge sharing, and engineering standards. Qualifications • 4-7 years of experience in AI/ML Platform Engineering, Cloud Platform Engineering, or Data & AI Platform development, preferably on GCP. • Strong knowledge of GCP services including Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and Dataflow. • Experience developing platform services, automation frameworks, and cloud-native applications. • Strong programming skills in Python and experience developing APIs and integrations. • Experience with GitHub, GitHub Actions, pytest, SonarQube, or similar development tools. • Experience with Infrastructure as Code using Terraform or similar technologies. • Knowledge of containerization and cloud-native technologies including Docker and Kubernetes. • Experience with workflow orchestration tools such as Airflow, Astronomer, or similar platforms. • Understanding of platform security, IAM, access controls, and governance practices. • Familiarity with platform monitoring, observability, logging, and alerting concepts. • Experience building reusable templates, accelerators, and self-service capabilities. • Strong problem-solving, troubleshooting, and collaboration skills. • Excellent communication skills and ability to work across cross-functional teams. McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

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