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Senior AI Ops Engineer - AI Platforms

마감일 1일 남음

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등록 4주 전

직무 개요

급여
면접 후 결정
근무 형태
하이브리드
경력
Từ 5 năm kinh nghiệm trở lên

직무 소개

Trách nhiệm chính

  • Operate, support and continuously improve enterprise AI platforms and associated production environments.
  • Manage platform reliability, availability and performance across AI and data workloads.
  • Monitor, troubleshoot and resolve production incidents, service disruptions and performance issues.
  • Support onboarding and operationalisation of new AI use cases.
  • Implement automation to improve platform support, operational processes and deployment pipelines.
  • Participate in platform upgrades, releases and change management activities.
  • Develop and maintain operational runbooks, technical documentation and support procedures.
  • Drive platform observability through logging, monitoring and alerting capabilities.
  • Collaborate with engineering teams to improve resiliency, scalability and operational readiness of AI workloads.
  • Contribute to platform governance, compliance and audit requirements.
  • Participate in post-incident reviews and continuous improvement initiatives.
  • Ensure adherence to enterprise technology standards, security controls and operational best practices.
  • Fulfil other tasks as assigned by your People Leader and/or authorized representative of NAB Vietnam from time to time.

Yêu cầu

  • 7+ years of experience in technology environments
  • Strong experience supporting and operating production platforms or large-scale enterprise applications
  • Hands‑on experience with cloud‑based data and AI platforms
  • Strong troubleshooting and problem‑solving capabilities
  • Experience with incident, problem and change management processes
  • Solid understanding of software development lifecycle and production support practices
  • Strong stakeholder management and communication skills
  • Passion for operational excellence, automation and platform reliability
  • AWS services including S3, RDS, Redshift, Glue, Athena, DynamoDB, EMR, Kinesis or similar cloud technologies
  • Databricks, Apache Spark and Kafka
  • Python and SQL
  • CI/CD tooling and deployment automation
  • GitHub, Jenkins and platform automation tools
  • Monitoring, logging and operational support tooling
  • Experience supporting data, analytics or AI platforms in production environments
  • Experience deploying or supporting Machine Learning and Generative AI solutions
  • Familiarity with MLOps concepts and AI platform governance
  • Understanding of LLM evaluation methodologies and AI model lifecycle management
  • Exposure to AI platform engineering, model deployment or AI infrastructure operations

Mức lương

  • Thỏa thuận

Phúc lợi

  • Generous compensation and benefit package
  • 20-day paid annual leave
  • 7-day paid sick leave
  • 13th month salary and Annual Performance Bonus
  • Premium healthcare for yourself and family members
  • Monthly allowance for team activities
  • Premium welcome kit and occasional gifts of appreciation
  • Extra benefits on your work anniversary
  • Access to digital learning platform such as Udemy
  • Consistent and high-quality leadership training through the Distinctive Leadership program (DLP)
  • Specialist capabilities and accreditations in key skill areas such as Cloud Engineering, Digital, Data, Security and SREs (Site reliability engineers)
  • Sponsored English course with native teachers
  • Opportunity for training in Australia

Hình thức làm việc

  • Hybrid working model

Thông tin khác

  • We are building and operating enterprise‑scale AI platforms that enable teams across the organisation to deploy, manage and scale AI‑driven solutions.
  • If this excites you, let’s have a chat over a cup of coffee!

BNZ

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