Supervisor, Data Operations & Management
Hyderabad, India, India • Posted June 06, 2026
Job Type:
Full-time
Location:
Hyderabad, India
Posted:
June 06, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role 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.
Key Responsibilities:
+ Deploy, monitor, and manage ML/AI models on Vertex AI, including training pipelines, model endpoints, and batch prediction workflows.
+ Provide MLOps support, including troubleshooting model performance, debugging ML pipelines, and resolving production incidents.
+ Implement AIOps practices, including monitoring, alerting, and automated remediation for AI/ML systems using ...
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.
Key Responsibilities:
+ Deploy, monitor, and manage ML/AI models on Vertex AI, including training pipelines, model endpoints, and batch prediction workflows.
+ Provide MLOps support, including troubleshooting model performance, debugging ML pipelines, and resolving production incidents.
+ Implement AIOps practices, including monitoring, alerting, and automated remediation for AI/ML systems using ...
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