AI Support Engineer (SRE - AI Focus)

Yum! Brands
Ho Chi Minh City
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Analytical","Troubleshooting","Communication","Prioritization"]

Support and maintain production machine learning platforms, pipelines, inference services, APIs, and deployment environments as part of a 24/7 AI operations team. Independently investigate and resolve operational issues, assess impact and urgency, and coordinate incident response with ML, data science, AI engineering, platform, and cloud teams. Improve reliability through automation, better observability, support process refinement, and incident/problem root-cause analysis, including on-call rotation participation.

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Yum! Brands
Yum! Brands
6 months ago

AI Support Engineer (SRE - AI Focus)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Closed

Job Summary

Support and maintain production machine learning platforms, pipelines, inference services, APIs, and deployment environments as part of a 24/7 AI operations team. Independently investigate and resolve operational issues, assess impact and urgency, and coordinate incident response with ML, data science, AI engineering, platform, and cloud teams. Improve reliability through automation, better observability, support process refinement, and incident/problem root-cause analysis, including on-call rotation participation.
Location: Ho Chi Minh City
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Monitor and support production machine learning pipelines, inference services, APIs, feature-processing workflows, and deployment environments.
  • •Independently diagnose and resolve operational issues involving model inference, data dependencies, deployment failures, service availability, latency, capacity, and infrastructure performance.
  • •Perform root cause analyses for incidents, document findings, and recommend corrective and preventive actions.
  • •Identify recurring failure patterns and partner with engineering teams to implement permanent solutions.
  • •Support production readiness reviews and participate in an on-call rotation supporting a 24/7 production environment.

Pay and Benefits

Perks:Health InsurancePaid LeaveRemote Work

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent practical experience.
  • •Three or more years of experience in machine learning engineering, DevOps, site reliability engineering, cloud engineering, software production support, or AI system operations.
  • •Experience independently supporting business-critical applications or services in a production environment.
  • •Strong working knowledge of at least one major cloud platform, such as AWS, Google Cloud Platform, or Microsoft Azure.
  • •Hands-on experience with container technologies and orchestration platforms such as Docker and Kubernetes.
Experience:3+ yearsMachine learningDevOpsCloudAI operations
Education:Bachelor's
Skills:AnalyticalTroubleshootingCommunicationPrioritization
Languages:English
Tech Stack:AWSGoogle Cloud PlatformMicrosoft AzureDockerKubernetesMLflowKubeflowVertex AISageMakerAzure Machine LearningPythonSQLTerraformCloudFormationPrometheusGrafanaDatadogSplunkCloud MonitoringCloudWatch

Company Brief

Yum! Brands
Yum! Brands is a global quick-service restaurant company that develops, franchises and operates KFC, Pizza Hut, Taco Bell and Habit Burger & Grill, serving tens of thousands of restaurants across more than 150 countries with digital and franchise-led growth strategies.
Industry: Restaurants & Food Service
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Louisville, United States
Founded: 1997
Glassdoor
Glassdoor: 3.7
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