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AI Operations Manager from 5yoe, Excellent English

YUM! Digital & Technology · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Trưởng / Phó phòng
Ngành nghề
Ngành nghề khác
Mức lương
Từ 85tr
Địa điểm
Not Available, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Team Leadership & Management:
  • Build, lead, and manage a distributed 24/7 AI Operations team based in Vietnam and Colombia, responsible for monitoring and addressing AI system issues.
  • Develop staffing plans, schedules, and rotations to ensure continuous coverage, including weekends and holidays.
  • Foster a collaborative and high-performance culture within the team, emphasizing learning, accountability, and continuous improvement.
  • Provide mentorship and professional development opportunities to team members across Vietnam and Colombia, fostering strong collaboration across locations and time zones.
  • Operational Excellence:
  • Design, implement, and maintain comprehensive operational playbooks for AI system monitoring, troubleshooting, and issue resolution.
  • Set, monitor, and ensure adherence to service-level agreements (SLAs) for issue response and resolution times.
  • Lead incident response efforts, ensuring timely resolution and thorough post-mortems for continuous improvement.
  • Onboarding Support:
  • Partner with cross-functional teams to participate in the onboarding of new stores, ensuring AI systems, data pipelines, and operational processes are successfully integrated.
  • Lead AI operational responsibilities after the initial onboarding phase, ensuring a seamless transition to steady-state operations.
  • Provide training and documentation to ensure store teams are familiar with AI-supported workflows and issue resolution processes
  • Collaboration:
  • Work closely with Data Scientists, AI Engineers, and MLEs to understand AI system architectures and define operational support requirements.
  • Coordinate with product and engineering teams to ensure operational feedback informs system design and deployment processes.
  • Collaborate with the AI team to develop strategies for model retraining, scaling, and lifecycle management.
  • Asia AI Growth & Execution:
  • Partner initially with KFC business leaders and regional AI leaders in one to two priority Asian markets to understand strategic priorities, business challenges, and opportunities where AI can create measurable value.
  • Assess regional needs against the existing global AI capability portfolio, identifying where current platforms, models, products, and reusable components can be deployed or adapted.
  • Identify capability gaps that require new AI solutions and help shape the roadmap, business case, requirements, and execution approach for those investments.
  • Translate opportunities in the initial KFC markets into a focused portfolio of executable AI initiatives, balancing business value, scalability, technical feasibility, speed to impact, and reuse across markets.
  • Mobilize and coordinate Data Science and Machine Learning Engineering resources across the United States, Colombia, and India to execute priority AI initiatives in the selected markets, ensuring clear ownership, delivery plans, and stakeholder alignment.
  • Work closely with the Global AI Leader and regional AI leaders to align market execution with global AI strategy, architecture, standards, governance, and reusable capabilities.
  • Serve as a bridge between market and regional stakeholders and global AI teams, ensuring local requirements are understood, solutions are appropriately localized, and delivery progress and risks are communicated clearly.
  • As the Asia AI portfolio grows, progressively expand execution responsibility to additional markets and help establish and manage local Data Science and Machine Learning Engineering capability in the region, likely based in Vietnam. The scope of this mandate is expected to grow with demonstrated business value and delivery maturity.
  • Monitoring & Automation:
  • Design, develop, and maintain monitoring systems to proactively detect anomalies, performance degradation, and system failures.
  • Implement alerting and reporting frameworks to ensure timely intervention and communication of system health metrics.
  • Advocate for automation in operational workflows to minimize manual intervention and improve efficiency.
  • Metrics & Reporting:
  • Define key operational metrics (e.g., mean time to resolution, issue volume trends, uptime) and deliver regular reports to stakeholders.
  • Continuously evaluate the performance of AI operations and recommend process improvements to enhance system reliability and support quality.
  • Your Skills and Experience
  • Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
  • 5+ years of experience in AI/ML operations, MLOps, or DevOps, with at least 2 years in a leadership role.
  • Proven experience managing 24/7 operations teams and establishing operational processes at scale.
  • Strong understanding of AI/ML systems, pipelines, and monitoring frameworks.
  • Proficiency in tools and platforms for monitoring and incident management (e.g., Prometheus, Grafana, Datadog, PagerDuty).
  • Excellent problem-solving and troubleshooting skills with a hands-on approach to resolving critical issues.

Yêu cầu

  • Experience with automation tools and scripting languages (e.g., Python, Bash) for operational workflows.
  • Knowledge of machine learning lifecycle management tools (e.g., MLflow, SageMaker, Kubeflow).
  • Previous experience in incident response for AI/ML or data-intensive systems.
  • Experience supporting onboarding processes for large-scale systems or distributed locations (e.g., stores or franchises).
  • Why You'll Love Working Here

Quyền lợi

Chế độ thưởngĐào tạo

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